Podcasts about Excel

In the summer of 1978, many Swedish workers relished the chance to take longer, paid vacations than ever before.This was thanks to an update to Sweden's Annual Leave Act –or Semesterlagen in Swedish – passed the previous year. The law guaranteed all employees four consecutive weeks of vacation, and increased their total annual leave to five weeks, giving them some of the longest paid holidays in the world.These policies transformed the way Swedes do business. Many factories and offices shut down for an entire month during the summer. Today,Sweden retains its strong reputation for work-life balance, and the annual leave act has given rise to the 'sommar jobb' - short summer jobs that help cover holiday absences.Former union worker Inga Persson, who was in her late 20s when the law was passed, tells Matilda Welin about the impact it had on her family, who decided to spend their first long, paid uninterrupted vacation in a new campervan. A Bespoken Media production, made by Maddy Savage.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Inga Persson. Credit: Inga Persson)

In 1974, an execution method known as the garrote, a chair with a metal collar tightened by a screw to break the neck, was used for the last time.Francisco Franco's regime used it to execute two young men on the same day. The last was Catalan Salvador Puig Antich, a 25-year-old member of an anarchist group that robbed banks to fund its activities and support working class people. He was accused of killing a police officer during his arrest.Stefania Gozzer speaks to his sister, Carme Puig Antich, about her brother's death and why, more than 50 years later, he remains a symbol of resistance to Franco's rule.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Salvador Puig Antich. Credit: Puig Antich's family archive)

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Charles Cofield. Thanks! The transcript from this episode of Money Making Conversations Masterclass features an inspiring and high-energy interview with CPA and financial educator Carter Cofield, co-founder of Melanin Money. Here's a breakdown of the key highlights and takeaways:

Can one accountant really do tax prep five times faster with AI? Blake and David talk with Sam Leon, founder of The Millennial CPA, about how he uses Claude projects to turn client documents into tax workpapers, speed up review, and run a solo firm built around software. They also dig into where AI still falls short, why review remains the bottleneck, and what firms can realistically automate today.SponsorsDigits - http://accountingpodcast.promo/digitsThe Value Builder System - http://accountingpodcast.promo/valueOnPay - http://accountingpodcast.promo/onpayCloud Accountant Staffing - http://accountingpodcast.promo/casChapters(00:00) - Autonomous AI Reality Check (00:11) - Show Welcome and Interview Tease (00:55) - Sponsor Spotlight Digits (02:34) - Trump IRS Deal Dismissed (05:20) - California Billionaire Tax Fight (07:35) - New York Pied a Terre Tax (09:29) - Sponsor Spotlight Value Builder System (11:18) - Xero CEO Pay and Stock Sale (16:39) - Verification Tax and AI Jobs (22:06) - Sponsor Spotlight OnPay (23:21) - 1948 IBM Accounting Machine Lesson (29:56) - Sponsor Spotlight Cloud Accountant Staffing (31:07) - Meet Sam Leon Millennial CPA (32:01) - Solo Firm Vision (33:15) - From Big Firms to Millennial CPA (35:42) - Why AI Agents Weren't Ready (37:19) - Automating Tax Prep Workflow (40:33) - Smart Intake for Better Scoping (43:06) - End to End Return Automation (46:04) - AI Workpapers and Review (49:38) - Claude Setup and Time Savings (58:18) - Tech Spend and Pricing Strategy (01:02:52) - Building TaxWeave Platform (01:06:21) - Wrap Up and CPE Info  Show NotesJudge Smacks Down Trump's IRS Settlement And Orders Sanctionshttps://www.cnn.com/2026/07/13/politics/trump-irs-judge-ruling-settlement-sanctionsInstead of Uniting the Left, California's Billionaire Tax Measure Has Split Democratic Allieshttps://www.cpapracticeadvisor.com/2026/07/08/instead-of-uniting-the-left-californias-billionaire-tax-measure-has-split-democratic-allies/186379/NYC lawyers slam pied-a-terre tax as a half-baked money grabhttps://www.audacy.com/1010wins/news/local/nyc-lawyers-slam-pied-a-terre-tax-as-a-half-baked-money-grabA 1948 IBM computer with no memory at all, fed by punchcards, was still doing the accounting at a Texas filtration company as recently as 2020https://scienceblog.com/t-1948-ibm-402-punchcards-sparkler-filters-accounting-2020/Time saved by AI partially canceled out by time spent checking AIhttps://www.accountingtoday.com/news/time-saved-by-ai-partially-cancelled-out-by-time-spent-checking-aiResearch Suggests Jobs May be Safer at Companies that Embrace AIhttps://www.cpapracticeadvisor.com/2026/07/07/research-suggests-jobs-may-be-safer-at-companies-that-embrace-ai/186281/AI Is No Longer Just a Tech Occupation Story: It's Spreading Across Job Titles in the US and Europehttps://www.hiringlab.org/2026/07/08/ai-is-no-longer-just-a-tech-occupation-story/The 2026 Best Accounting Firms for Technologyhttps://www.accountingtoday.com/list/the-2026-best-accounting-firms-for-technologyNeed CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comMeet Our Guest, Sam Leon, CPALinkedIn: https://www.linkedin.com/in/samuelaaronleon/ Website: https://www.millennialcpa.tax/Website: https://www.taxweave.ai/Get in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring The Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessitiesTeePublic Store: http://cloudacctpod.link/merchSubscribeApple Podcasts: http://cloudacctpod.link/ApplePodcastsYouTube: https://www.youtube.com/@TheAccountingPodcastSpotify: http://cloudacctpod.link/SpotifyPodchaser: http://cloudacctpod.link/podchaserStitcher: http://cloudacctpod.link/StitcherOvercast: http://cloudacctpod.link/OvercastClassifieds REFRAME 2026 - http://accountingpodcast.promo/reframe2026Flowglad - https://cal.com/team/flowglad/flowgladWant to get the word out about your newsletter, webinar, party, Facebook group, podcast, e-book, job posting, or that fancy Excel macro you just created? Let the listeners of The Accounting Podcast know by running a classified ad. Go here to create your classi...

On 1 February 1969, the first African film festival of Ouagadougou opened in the Republic of Upper Volta, now known as Burkina Faso.In 1972, the event was made into an official institution by government decree.It became known as the Pan-African film festival of Ouagadougou - Fespaco for short.It is Africa's largest film festival and is held every two years. Alimata Salembéré was President of the organising committee who put together the first event.She tells Jen Dale how it all came about.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Fespaco. Credit: Luc Gnago/Reuters)

In 2016, a fragile-looking aircraft with the wingspan of a jumbo jet and the power of a scooter attempted something no-one had ever managed before: flying around the world without a drop of fuel.But behind the serene images of Solar Impulse Two, gliding over oceans, was a story of near disaster, exhaustion, and a team pushed to breaking point.Bertrand Piccard - explorer, balloonist and one of the two pilots - tells Kurt Brookes how a dream born in the Egyptian desert became a 40,000km test of nerve, technology and sheer stubbornness. A Made in Manchester production. Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Solar Impulse 2 second test flight over Abu Dhabi. Credit: Solar Impulse/ Stefatou)

On 3 June 1998, a stone carving of Native American warrior Crazy Horse's face was unveiled in South Dakota.It is 27m tall and is part of a much larger sculpture showing the Native American warrior riding a horse and pointing towards the sacred Black Hills. When finished, it will be the largest mountain carving in the world.Crazy Horse helped defeat the US Army in 1876 at the Battle of the Little Bighorn.The granite memorial was started by Korczak Ziolkowski in 1948 after being asked by Lakota Chief Henry Standing Bear to carve a likeness of the warrior out of a mountain.After Korczak's death, his family continued the project.Daughter Monique Ziolkowski is the memorial's artistic and historical adviser.She tells Jen Dale what it was like to help drill, blast and carve the mountain into the likeness of Crazy Horse.This programme contains outdated language.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Crazy Horse memorial. Credit: Crazy Horse Memorial Foundation)

Before 1977, flamenco percussion relied solely on hand‑clapping and dancers' footwork. But that year, at a party in Lima, Peru, the cajon entered the scene.Spanish guitarist Paco de Lucia and Brazilian percussionist Rubem Dantas attended an event at the Spanish embassy where they saw local musicians playing the cajon, an Afro‑Peruvian box drum that evolved from the wooden crates enslaved people used to make music in the 17th century. Since then, the cajon has become a staple of flamenco.Rubem Dantas spoke to Stefania Gozzer about what happened that night.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Spanish Flamenco dancer Belen Lopez and members of her Flamenco dancing company in Portugal. Credit: Corbis via Getty Images)

What if the data you're obsessing over is the very thing capping how far you can go? In this episode of The Game Changing Attorney Podcast, Michael Mogill sits down with Andy Walshe, the human performance leader behind Red Bull's high-performance program and the Felix Baumgartner stratosphere jump. They dig into why the metrics everyone chases can only take you so far, and why the traits that truly separate elite performers (character, creativity, how you show up when it's hard) are the ones almost no one is actually training. It's a look under the hood of what elite performance really requires when the stakes are highest. Here's what you'll learn: How character, not metrics, can be the real dividing line between good and elite How to train creativity as a skill instead of treating it as a gift you're born with What it takes to perform under extreme pressure when everything is on the line If you've been optimizing the measurable and ignoring the human, this is your wake-up call. (00:00:00) Introduction (00:02:40) From athlete to performance coach (00:03:31) Why Red Bull obsesses over performance (00:05:38) What makes elite performers special (00:07:18) Not everything can be measured (00:09:27) Training character and creativity (00:12:00) The Felix Baumgartner jump (00:20:32) Why the Enhanced Games flopped (00:23:12) Training under manufactured fear (00:27:05) The right dose of stress (00:30:00) What cold plunging really trains (00:32:09) No secrets: the 70-20-10 rule (00:36:55) The trait that predicts greatness (00:39:24) Do elite traits cross fields? (00:41:31) Ego, humility, and luck (00:45:47) What it means to be a game changer ---- Links & Resources: Andy Walshe Liminal Collective Red Bull Stratos Felix Baumgartner Joe Kittinger Enhanced Games Australian Institute of Sport ---- Learn what sustainable growth can look like for your firm at crispcoach.com. ---- Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 461. Mastering Biological Fundamentals for Elite Performance with Dr. Kristen Holmes 338. Will Ahmed - From Stress to Success: Optimizing the Entrepreneurial Journey 298. Rich Diviney - The Fundamental Traits Navy SEALs Use to Excel

Fresh off Macstock, you get the full debrief on this year’s gathering before diving into a stacked round of Quick Tips. You’ll learn how to disable Summarize Notification Previews to stop needless battery churn, clear every unread Apple Watch notification in one shot, and weigh whether it’s finally time to move to macOS Tahoe. There’s a heads-up that Mac minis and Mac Studios are back in Apple’s Refurbished Store, a slick Control-Tilde trick to reveal formulas in Excel, Google Sheets, and LibreOffice, the case for a USB-only cable when you’re heading into DFU recovery mode, and clever moves like stretching a Kindle book loan with an old iPad, building reusable packing-list templates, and scheduling an automatic weekly reboot to keep your Macs running clean. Then you tackle your questions: setting the default audio app on your iPhone, when prepaid mobile data might be the smarter play (and when it’s not!), and a big Don’t Get Caught warning that macOS 28 is dropping support for encrypted HFS+ drives, so decrypt or reformat those external volumes before you upgrade next year. You’ll also hear how Claude Code can become your new macOS troubleshooting partner, including some honest thoughts on leaning on AI to fix your machine. Cool Stuff Found rounds it out with UDM14 for Google results minus the AI summaries, Backdrop for live macOS wallpaper, Clock Rings for tracking time in decimal, and a cheap camera lens cover that works across your MacBook, iPad, and iPhone. As always, come learn at least five new things. 00:00:00 Mac Geek Gab 1151 for Monday, July 20th, 2026 July 20th: National Fortune Cookie Day MGG Monthly Giveaway – Win a license to Mole 00:02:00 Macstock Debrief Some new-for-the-first-time attendees David Pogue Ken Case Ken Ray Paul Conaway Quick Tips 00:00:01 DLH-QT-Disable Summarize Notification Previews to save battery churn 00:06:16 Pilot Pete-QT How to clear all your unread Apple Watch notifications 00:08:34 Is it time to update to Tahoe? 00:09:25 Mac minis and Mac Studios available again in Apple's Refurb Store 00:12:31 Companies safeguarding your data 00:16:46 Marina-QT-Control-Tilde shows the formulas in Excel (and Google Sheets, and LibreOffice, but not Numbers) 00:20:03 Tony-QT-Use a USB-only cable for DFU Recovery Mode 00:21:49 Harvey-QT-Use your old iPad to extend your Kindle Book loan period 00:24:40 Todd-QT-1150-Create Packing List Templates and Sections 00:27:50 Don-QT-Schedule a weekly reboot for your Macs sudo pmset repeat restart U 05:00:00 (“U” means sUnday) 00:33:40 Pilot Pete-QT-Green light Means the Camera is On Sponsors 00:36:56 SPONSOR: Coveron. One scam can cost you everything – use code “macgeekgab” for up to 76% off at https://coveron.com/macgeekgab to safeguard your identity. 00:38:10 SPONSOR: Shopify. If you're ready to stop putting off your business and start selling, sign up for your free trial and start selling today at https://Shopify.com/MGG Your Questions Answered and Tips Shared! 00:39:33 Dave-How can I set the default audio app on my iPhone? 00:45:30 Doug-Why go prepaid for mobile data? US Mobile (allows network flexibility) Get $25 to join America’s Super Carrier, plus get 30 days free when you transfer your number! 00:53:10 Gary-DGC-macOS 28 to drop support for encrypted HFS+ drives 00:58:10 Dave-QT-Use Claude Code for macOS troubleshooting 01:03:57 Some thoughts on Troubleshooting with AI Cool Stuff Found 01:05:35 Mike-CSF-UDM14 to get Google results sans AI summaries 01:09:34 Javier-CSF-1128–Backdrop – Live MacOS Wallpaper 01:11:34 -n-Eric-CSM-Clock Rings to track time in decimal 01:15:39 Pilot Pete-CSF-Camera Lens Cover Macbook, iPad, iPhone 01:18:48 MGG 1151 Outtro MGG Monthly Giveaway Bandwidth Provided by CacheFly Pilot Pete's Aviation Podcast: So There I Was (for Aviation Enthusiasts) The Debut Film Podcast – Adam's new podcast! Dave's Business Brain (for Entrepreneurs) and Gig Gab (for Working Musicians) Podcasts MGG Merch is Available! Mac Geek Gab iOS app Mac Geek Gab YouTube Page Mac Geek Gab Live Calendar This Week's MGG Premium Contributors MGG Apple Podcasts Reviews feedback@macgeekgab.com 224-888-GEEK Active MGG Sponsors and Coupon Codes List BackBeat Media Podcast Network

In March 2008, former female wrestler Juana Barraza was found guilty of murdering at least 11 elderly women in Mexico City. The murders took place over a period of seven years, and Barraza became known as the “little old lady killer”. She admitted to murdering three women and told investigators it was because of abuse she suffered in childhood at the hands of her alcoholic mother. In 2021, Mike Lanchin spoke to the neuropsychologist Dr Feggy Ostrosky, who interviewed Barraza in jail, about the disturbing story. Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Barraza being presented to the media following her arrest in 2005. Credit: Reuters/Danil Aguilar)

This week, Shaye Wanner interviews NDSU livestock development specialist Jon Biermacher about the economics of buying weaned/backgrounded heifers in spring, breeding them, and selling them about a year later as long-bred heifers or as pairs, using an Excel-based enterprise budget tool developed from a student producer's plan.   The model includes key costs (heifer purchase, pasture/feed/hay/mineral, health, breeding, transport, interest, marketing) and compares AI plus cleanup bulls versus natural service, finding about a $55/head advantage to not using AI (not counting added labor) and little observed revenue premium for AI'd breds. In their projections, pairs returned about $100/head more than bred heifers. Results show costs are dominated by heifer purchase and feed, with profit highly sensitive to purchase price; a ~$0.20/lb increase can erase roughly $200/head projected net return. This conversation is helpful for anyone looking to create projections on their operation with resources from the NDSU team.   Join Rising Ranchers Here: https://www.facebook.com/groups/risingranchers  Catch more conversations like this one and learn more at https://www.casualcattleconversations.com/     01:31 Meet John Biermacher  04:54 Defining the Enterprise  06:08 Building the Budget Tool  13:03 Markets and Assumptions  15:04 AI Versus Bulls  19:48 Where the Costs Sit  22:26 Breds Versus Pairs  25:35 Break Evens and Risk  31:47 Tools Beyond Spreadsheets   

Don’t Fade and Die in AI Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ Matt Yanchyshyn, VP AWS Marketplace, Rekha Thangelapalita, Elastic GSI Leaders; Allison McFadden, Accenture AWS Leader; and James Kang of Nvidia join Ultimate Partner. In this panel discussion, leaders from Elastic, Accenture, Nvidia, and AWS dissect the urgent shifts in the ecosystem, emphasizing that partners must adapt to AI and agentic co-selling or risk fading away completely. The conversation explores the necessity of deep co-engineering, the power of multi-product solutions in the AWS marketplace, and how automated agents are now replacing traditional human sales pipeline progression. By embracing data readiness and strategic collaboration, organizations can survive the “token maxing” era, effectively scale their enterprise opportunities, and align with NVIDIA’s five-layer strategy to dominate the new cloud landscape. https://youtu.be/zUkL4Wqsa68 Key Takeaways AI agents will automate the majority of AWS partner co-selling attachments and opportunity progressions this year. Partners who fail to embrace agentic workflows and automated governance face the existential risk of fading into obsolescence. Successful multi-product offerings require a “blood to all organs” approach that benefits the client, the ISV, the GSI, and the hyperscaler simultaneously. Nvidia’s “five-layer cake” model emphasizes that successful outcomes at the application layer automatically drive growth for all underlying infrastructure. The “token maxing” phenomenon is forcing enterprises to seek cost-effective, open-model alternatives to scale their generative AI securely. Integrating GSIs and ISVs on the AWS marketplace significantly increases enterprise deal sizes and long-term customer renewal rates. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags strategic collaboration agreement, data readiness engine, agentic co-sell, semantic layer, token maxing, five layer cake, accelerated computing platform, open models, cloud consumption, multi-product solutions, partner central agents, propensity data, automated opportunity progression, generative AI governance Transcript Matt Y and Panel Audio Podcast [00:00:00] Vince Menzione: You have a choice. You can embrace them and figure it out and get governance and, and make your data available. Um, use the partner, central agent, move to Agen Co-sell, or you can fade and die. [00:00:11] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:22] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi. Own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:44] Vince Menzione: It is the strategy because [00:00:46] Vince Menzione: being in the room changes everything. Let’s start. [00:00:51] Vince Menzione: We’ve got some amazing leaders joining us. So I think probably for a little bit of context, maybe just start with Rika. You can introduce yourself, your role and, uh, what, what you’ve been doing at Elastic. Yeah. [00:01:03] Rekha Thangellapalli: Yeah, sounds great. [00:01:04] Rekha Thangellapalli: Hi everyone. I’m Reka and I lead GSI Alliances at Elastic. Um, for the past 14 years, I’ve had the pleasure of building different kinds of partner ecosystems across companies such as SAP. MuleSoft, Salesforce, Coupa, and now Elastic. Um, I wanna thank Ultimate partner and Vince for having us here today. Thank you and the panel of these incredible speakers for joining me on stage. [00:01:31] Rekha Thangellapalli: Um, very excited for the conversation today. [00:01:33] Vince Menzione: We love Elastic, and you’ve had some of your other leaders on stage at other events. As such, the quality of your leadership team is amazing. Thank you. [00:01:42] Rekha Thangellapalli: I wholeheartedly agree. [00:01:45] Allison McFadden: Excellent. Um, hello everyone. Allison McFadden. I lead our North America AWS practice at Accenture. [00:01:52] Allison McFadden: Uh, I’ve been there for five years, and truth be told, it was my first partnership role, my first formal partnership role. Uh, so I can take some tips from all of you in the room here today. Prior to that, I was 21 years with IBM, and I got into partnerships because my last role at IBM was actually trying to build. [00:02:14] Allison McFadden: Linux business on the mainframe, and I had to have partners. I had to have partners to help me with workloads to run there. So I kind of learned, uh, trial by fire. But I’m excited for the conversation today. Excited to be in this room and excited to talk about what we’re doing with, uh, elastic. Thank you. [00:02:34] James Kang: Uh, my name is James Kang. Nice to see and meet everyone here. Vince, thank you for the opportunity. Thank you [00:02:38] Vince Menzione: for being here. [00:02:39] James Kang: Um, I’m with Nvidia, so I help manage the AWS partnership at Nvidia all up. Um, I guess fun fact, I’m former AWS and so I see a lot of very familiar faces here in the front row. Uh, former colleagues and then current friends. [00:02:56] James Kang: And so, uh, looking forward to the conversation. [00:02:59] Vince Menzione: Great. Well, we’ll start with an easy tia. Matt. This is not directed to you, directed to the others. So what does a successful AWS partnership look like from your C? So we’ll start with Eureka. [00:03:09] Rekha Thangellapalli: Sure. So from an ISV perspective, I think we really are looking at three things. [00:03:15] Rekha Thangellapalli: Uh, mutual investment building together. And scaling together. So when we talk about mutual investment, elastic recently signed a five-year SCA or strategic collaboration agreement with AWS. And while that is a significant milestone in our partnership, for us, what matters more is what it represents, and that is really a long-term commitment from both companies. [00:03:39] Rekha Thangellapalli: Towards product engineering, um, and joint go to market initiatives to deliver value to customers over time. And that’s what we see is that the best partnerships really compound and they build upon each other every year. Um, they don’t necessarily kind of reset every year. Um, next we talk about building together. [00:03:59] Rekha Thangellapalli: So, um. When we talk about joint solutions, we want to deliver solutions that are better together and the customers have to see us that way. And so whether it’s search, observability, or security, we’re looking at taking to market solutions that we can’t or necessarily don’t wanna take on our own. And finally we talk about scaling together. [00:04:22] Rekha Thangellapalli: And this is where marketplace, for instance, plays a big role, um, when customers can draw down on their cloud commitments, transact online and go from, you know, pilot to enterprise scale adoption in hours, not days. Um, this is when really everyone wins. Um, and this is also where partners like Accenture play a critical role. [00:04:47] Rekha Thangellapalli: Um, you know, the incredible amount of expertise that they bring, uh, the managed services capabilities and, um, their data assets actually play a huge role in having our customers realize that value faster. And, um, like Vince mentioned, at the end of the day, best partnerships are all all about creating kind of that. [00:05:07] Rekha Thangellapalli: Self-sustaining flywheel. And so it starts with investing together, building something unique, and having the customers realize that success faster because that success is really the only thing that’s gonna keep that flywheel going for everyone involved. I [00:05:26] Vince Menzione: absolutely. [00:05:26] Allison McFadden: Okay, amazing. I’m gonna riff off a few things Ika said, but from a GSI perspective. [00:05:32] Allison McFadden: A relationship with a WSA successful relationship with AWS looks slightly different. Um, so I think the first thing that we think of in the GSI Community common thread is that the client outcome and delivering value for clients is what we, what we’re striving for. Um, and so the partnership with AWS in that case, um, um, it has to, it has to. [00:06:01] Allison McFadden: Look like one team in front of our clients. So we have to show up indistinguishable, and that’s with AWS and with an ISV partner, it has to look like one solution in front of the client, especially moments that matter. So board meetings, um, you know, the time we’re gonna sign a deal, like we have to look like one team, uh, and keep our our client outcome, um, first and foremost in mind. [00:06:24] Allison McFadden: The second thing, and this is I think where the magic of all the people in this room comes into play. We can have as many discussions at a CEO level as we want. And if our client teams on the ground are not working together, it falls apart. Falls apart directly in front of the client. Yes. And that is a really hard thing to do. [00:06:45] Allison McFadden: So I’m passionate about the alliance work because that that work is what makes it happen at the corporate level. [00:06:53] James Kang: Cool. Um. I’ll start here. So in Nvidia is a accelerated computing platform company. Um, if you asked. Anyone on the, on the street about a year ago, what is ai? A lot of times they would say AI is, is open ai, or it’s philanthropic. [00:07:12] James Kang: Um, Jensen and I’ll, I’ll reference Jensen a lot today, um, because he is our leader, um, but he also sets the strategy in the direction for Nvidia. He talks a lot about AI in the metaphor of a five layer cake. And in terms of the five layer cake, you start off with the foundational bottom layer being power and energy, which sustains. [00:07:32] James Kang: All of our data centers, you move up the stack in terms of chips. So things think of Foxconn, think of TSMC. Next you have the infrastructure layer. So obvious choice is AWS, and then you get to the models where you do have the philanthropics and the open ais. But finally in at the precipice, you have the application layer. [00:07:53] James Kang: Ultimately, the reason why I mentioned all different stacks of the layers, the five layer cake, is the fact that the application layer is the most important. And so when you think about. Partners like Elastic or ServiceNow Trend, ai, CrowdStrike. Every time you pull from the application layer and you see a success, it pulls all five different components of that layer up. [00:08:13] James Kang: And so ultimately, as I think about success, it’s it’s being able to develop these co-sell wins at the application layer and really demonstrating that through extreme co-engineering and co-design with all the different application. Infrastructure, power and energy layers in mind. Um, Jensen also likes to think of himself not only as the CEO and founder, but also as the, the chief Marketing Officer. [00:08:35] James Kang: We are a very event driven company, and so at our big events like GTC or at big industry events like CES or Computex, he likes to show up on the biggest stage, biggest stages and showcase the partnerships with not only ISVs and GSIs, but also with end customers. And so that’s what I think about when I think of SA success. [00:08:56] Vince Menzione: That’s a really good point. You talked about, Allison, you talked about having an alliance strategy, or at least you teed it up, so I thought maybe we would go there for a second. Right? Like, what does a great alliance strategy look like and why is it important to the success of the partnership? [00:09:11] Allison McFadden: Man, I, uh, I have so many opinions on this. [00:09:13] Allison McFadden: We could probably be up here all day. That’s [00:09:15] Vince Menzione: okay. [00:09:16] Allison McFadden: Um, no, I think. Uh, there, there are a couple things, and the first one that comes to mind is focus. We cannot be all things to all people. Um, so when it comes to think about some of the, the work we’re doing with Elastic, we have a very, very clear point of view on what client problem we’re solving, what clients we want to talk to. [00:09:38] Allison McFadden: It helps if, um, from an ISV perspective, if there’s a very clear fit in. The Accenture portfolio or whatever, you know, SI consulting partner. You’re working with a very clear fit in the portfolio and we know what we’re not gonna go after, what we’re not gonna spend our time on because we have, we have this tendency, there’s millions of people. [00:10:00] Allison McFadden: The ecosystem chart that, you know, Vince, you showed up there, there’s so many connections. There’s probably more connections there than there are atoms in the universe, right? So, um. Defining what we do together and what we don’t do together is the first thing that pops to my mind. [00:10:19] Vince Menzione: Reka, do you have a perspective on it since we’re gonna, we’re gonna talk next about what you’ve done together, but, and I also wanna get mass perspective as a hyperscaler partner here as well. [00:10:29] Rekha Thangellapalli: Yeah, I mean from my perspective, I, I’m gonna, you know, kinda echo what Allison said is to be just maniacally focused. Yep. Um, because, especially from my perspective, so Elastic has three different solutions, right? We’ve got search, we’ve got observability, we’ve got security that map to completely different business units within Accenture. [00:10:47] Rekha Thangellapalli: And of course Accenture does a lot of things. And so, you know, when we first came together it was like. Okay, what are we gonna focus on? What industries are we gonna go after? Which segments are we gonna go after? Which customers, you know, um, outcomes are we trying to solve? And I think that sort of maniacal focus is the number one contributing factor to, to the fact that I’m like, up here on stage today. [00:11:12] Rekha Thangellapalli: Great. [00:11:14] Vince Menzione: Matt? Perspective? [00:11:16] Matt Yanchyshyn: Yeah, I, I, I guess I was trying to. To add something, uh, additional from an AWS perspective, uh, when it comes to, you know, what does a great alliance look like? Uh, AWS is obsessed with data, you know, in data we trust. And, and so the best, um, and, and this goes sales business problem, and it’s not just the engineering teams. [00:11:34] Matt Yanchyshyn: And so, uh, you know, Accenture does a good job of this elastic, definitely. And if you can come to the table with, um, quantifiable proof of the value of customer outcomes and partnerships. Um, you’ll win all the time and it’ll be a durable relationship with AWS ’cause we really are this data obsessed company and, and even the most senior sales leaders. [00:11:54] Matt Yanchyshyn: Uh, and so what I mean by that specifically is like if you, if you can show like your a RR to land an a RR conversion ratio, like in in numerical format, it’ll light up our sales leaders and, and they’ll be all, and they will co-sell with you all day long. If you can show the, I mentioned this earlier, like the AWS service, uh, whether you’re consulting company or, um, elastic and, and how the shape of customer accounts change positively when we work together. [00:12:15] Matt Yanchyshyn: That type of sort of quantifiable data works particularly well from an alliance perspective. With AWS as a partner, we, we really are like this data in sort of results out company. Um, so I, yeah, that’s just adding to the great points that were already made. I would say specific to AWS that that’s key. [00:12:30] Matt Yanchyshyn: Yeah. And I’m gonna bring up one more thing. I want to dive in on the, the joint value proposition, but you mentioned something that made a lot of sense and resonated to me about the organizations once you get out of partner, the partner world that we all know and love. Mm-hmm. Once you get down into a field organization or account management organization. [00:12:49] Matt Yanchyshyn: Not as much understanding and really organizations do a bad job here, honestly, in terms of enabling the field organizations. Do you agree? [00:12:58] Allison McFadden: I agree because I, I agree. And, um, you know, I think that’s one of the things, and, and I, I, when I joined Accenture, what we had was a lot of wicked smart architects delivering programs to clients in the field. [00:13:15] Allison McFadden: Very smart, very deep in AWS knowledge. Um, and that was awesome for the 10 clients they were staffed on and to get that understanding of how AWS works and I dream about lar, right? Like, this is a good, you know, but that takes real effort and real work. Yeah. And it’s, it’s um, almost like being a language translator. [00:13:37] Allison McFadden: Yes. For me. Yeah. So, you know, I had to deeply learn AWS so that I could. [00:13:42] Rekha Thangellapalli: Sure. [00:13:42] Allison McFadden: Teach my account teams. My account teams are really smart. They know who they’re selling to. They know their customers. They know what their customers need. They do not know what AWS has to offer always because they’ve got 20 partners lining up to try to tell their stories. [00:13:57] Allison McFadden: Um, they don’t know how to ask of the AWS team or the elastic team or the Nvidia team. Yeah. What they need [00:14:02] Vince Menzione: this co-selling piece. Yeah. [00:14:04] Allison McFadden: And so that is where, um. We had to build that muscle even around our AWS practice, which was a huge practice at Accenture, but we didn’t necessarily surround it with that kind of enablement and um, almost deal coaching layer. [00:14:21] Vince Menzione: So Elastic and Accenture came together. I dunno which one of you wants to lead this part of the conversation, but you will, right? Yeah. So tell us about the genesis of this and why. And a lot of people dunno what Elastic does, but you do some really incredible work. Like I, somebody told me one day was like, oh, you know, Uber, like, that’s elastic, powering all that. [00:14:41] Vince Menzione: Like, we don’t think about that. That the engines that you have and the, the backend to the customers, huge customers. [00:14:48] Rekha Thangellapalli: Yeah, absolutely. Um, so when AWS launched this feature last, um, reinvent where basically it allowed, you know, channel partners such as Accenture to be able to bundle up their services, their data assets with an ISV solution and put it on marketplace, um, you know, Accenture and Elastic immediately saw an opportunity. [00:15:09] Rekha Thangellapalli: Um, at the time most customers were doing gen ai. But they were running into the same challenge, which was that their data just was not ready. And by the way, this is a problem we were solving. Outside of marketplace. I think the, the feature that you guys launched just gave us a way to package it up and to be able to create this repeatable solution, which we call data readiness engine for gen ai and put it on marketplace. [00:15:40] Rekha Thangellapalli: And, um, this to me was a success because. Each company had a clear reason to invest. Um, so for Accenture, they were able to, you know, create a very differentiated services led offering. Uh, for Elastic, we were able to expand on our AI story. And for AWS, um, you know, it drives marketplace adoption, increases cloud consumption, all of that great stuff. [00:16:07] Rekha Thangellapalli: And customers, of course get. A solution to a very real problem that, that they were having. Um, and you know, the surprising part for me going through that journey was that, um. The pitching, the idea, getting the budget, getting the executive sponsorship was actually the easy part. The hard part was getting all three companies to come together, uh, to go from idea to launch in a very ambitious timeline of six weeks. [00:16:37] Rekha Thangellapalli: Nice. And so, you know, this was very much like. Doesn’t matter your title. We’re rolling up our sleeves and we are on this outcome together. Um, and so we literally built a RACI matrix, a project plan, and you know, we had daily standup calls for six weeks where literally. At least one person from each three of these companies called in, you know, got rid of any blockers and we made sure we were on target for that timeline. [00:17:07] Rekha Thangellapalli: Um, and you know, at the end we had a successful launch. But I think my favorite part about the story is the impact that we’re having and, um. My favorite story comes from a global pharmaceutical company that, you know, had basically nine petabytes of data spread across six different continents. Wow. And by working with Accenture and Elastic, they were able to build that trusted foundation that their AI and their agents can, you know, kind of safely tap into and be accessible at scale. [00:17:41] Rekha Thangellapalli: Um, so that’s my version. Allison. [00:17:44] Allison McFadden: Yeah. Well, I don’t have a lot to add. I just, I would say this is a good example of a couple of principles, right? One is having a forcing function is never a bad idea. Sign up for a big event, sign up. I’m like, I’m here with my, you know, Nvidia guys saying, sign up for the event. [00:17:58] Allison McFadden: It’ll make you move quick, right? [00:18:00] Audience Member: Yes. [00:18:00] Allison McFadden: Um, so that is one, but two, one of my mentors once told me, when you’re designing any kind of, you know, offering go to market motion, it has to get blood to all organs. If it does not get blood to all organs, it does not go [00:18:14] Vince Menzione: nice. [00:18:14] Allison McFadden: Um, [00:18:14] Vince Menzione: I love that analogy. [00:18:15] Allison McFadden: Oh, I love it. And I can talk all day. [00:18:17] Allison McFadden: That guy was brilliant. I love him. But, um, no, and, and so Elastic did a really nice job of bringing the tech to the table. Um, our team has to trust in that technology and its ability to scale, right? Um, because at Accenture we have to be able to deploy across 700,000 consultants. Um. And yeah, so I think those are the two, two things that really worked well here is we had, uh, trust in the technology solved a customer need. [00:18:50] Allison McFadden: Um, it drives, we don’t even talk about, like, yes, it drives marketplace revenue, but it unlocks work that we do that drives even more revenue to our AWS Friends. Right. So this is a, this is a, um, product that’s getting your data ready for AG agentic. It’s a messy problem that everyone’s dealing with, and it removes blockers for clients and it unlocks more, you know, ag agentic work on top of that. [00:19:15] Allison McFadden: So, blood to all organs. [00:19:17] Vince Menzione: So, was that the proposal going forward to say we need to have, we need to have trust in the solution. We need to drive significant revenue. It needs to be something all of our, you know, seven, 700,000 people. Can be a part of and help drive? Is that how you think about? [00:19:32] Allison McFadden: Yeah, and for us right now, um, it’s an interesting time for Accenture. [00:19:36] Allison McFadden: Our clients are asking a lot of us, and what it does is it having some of these accelerators helps us deliver cheaper, better, faster to our clients, which is what they’re demanding of us right now. Um, so it’s an accelerator to client outcomes. [00:19:55] Vince Menzione: James, what is NVIDIA’s role and how do, how do you enter the equation here? [00:20:00] James Kang: Yeah, it’s, um, it’s a good question. Um, I, I would say that Nvidia is probably one of the most misunderstood organizations in the world. Um, despite the, uh, the market capitalization in the valuation of the company, we have a very tiny organization. Um, what I mean by that is, um, if you think about. [00:20:20] James Kang: Salesforces and field sales organizations. Um, we’ll take Salesforce as the account or the customer. As an example, we have one account manager at NVIDIA that no, not only covers and is responsible for the relationship with Salesforce, um, but also manages. Automation Anywhere as well as DocuSign. Whereas at AWS, in contrast, like there are full armies and teams Yeah. [00:20:45] James Kang: That are supporting the Salesforce relationship. And so as you think about partnering and working with Nvidia, the focus has to be on really. Extreme co-design, but also being very prescriptive in terms of what are the very specific customer outcomes that we are solving for. And the guidance that I would give is bring in Nvidia into that equation and that conversation as early as possible because that [00:21:10] James Kang: co-engineering and co-design needs to be part of the foundational building blocks in order for you to come out with a end solution that checks all those different requirements. [00:21:20] James Kang: And so I think. Again, like going back to Nvidia, um, we like to talk about two different types of brains. A brain one and a brain two. Uh, brain One you think about the next quarter and making sure that you’re hitting the revenue targets for the next quarter. Brain two, you think about a long-term goals and potentials looking around corners and being very strategic. [00:21:41] James Kang: The saying internally is without Brain one, there is no oxygen, but without brain two, there is no future. And everyone at NVIDIA is trained to think in that brain two mentality. [00:21:52] Vince Menzione: Wow, Matt. [00:21:54] Matt Yanchyshyn: Yeah, I, I was just thinking I love the blood doll organs. Uh, and so just on, on that note, um, and, and, you know, the multi-product solutions that, that you, you built together, uh, that is a really good example of blood do organs because like we all know, that’s how customers buy. [00:22:07] Matt Yanchyshyn: They, they buy solutions and increasingly they’re looking for combinations of ISV, sometimes multiple products from multiple ISVs with services. Uh, often they’re buying it through a resell motion. You know, and they, and, and so that from a customer perspective, they want a single place to go. And so that’s the multi-product solution. [00:22:24] Matt Yanchyshyn: They wanna find everything they need, they need Accenture, they need Elastic to solve a specific solution. And I think where that’s headed is even more specific listings, like with AI powered listing experience, like, you know, elastic Plus Accenture for, I’ll make something up like a manufacturing workload. [00:22:37] Matt Yanchyshyn: And so this solution based. Uh, sort of buying is, is very customer centric. It’s what customers want. We all know that. But that’s, that’s the customer sort of organ, I guess. Um, but then, you know, you all have SCAs and those SCAs have marketplace commits. It helps if that gets transacted through marketplace helps the AWS relationship, you know that that’s an organ. [00:22:55] Matt Yanchyshyn: It’s the relationship. It’s, it’s the commercial construct and that you have, uh, that that’s another organ. You’re marketing people. They, that’s another organ. They don’t wanna land, uh, leads on a static marketing page. They wanna land a lead on a, a storefront with a multi-product solution that can actually convert and that you can actually buy it through that. [00:23:12] Matt Yanchyshyn: So the marketing person’s happy because they, they have less churn. Uh, and then, you know, our reps are happy ’cause guess how they get paid? They retire quota when they sell Marketplace. And they, we also, Jay McMain will tell you, that’s another organ called Jay or on, on you now. Um, [00:23:27] Matt Yanchyshyn: he’ll like that. I’ll call him up and tell him that. [00:23:29] Matt Yanchyshyn: Yeah, [00:23:30] Matt Yanchyshyn: but he, he’ll tell you, you know, don’t believe me. Obviously, never believe Matt, believe, believe the, the data and, and his data shows that. Those deals will close faster and larger if you use marketplace. So that’s, that’s a lot of organs. That’s the whole body. Um, but you know, when you have your customer happy ’cause that’s how they wanna buy your field happy. [00:23:45] Matt Yanchyshyn: Um, and, you know, the relationship happy and you know, your marketing team happy. Uh, and, and Jay happy. Um, and, and you know, I think that multi-product construct and, and the way you kind of use it to model a partnership and the way buyers ultimately wanna buy is, is really powerful. And so I, I think it’s, you know, it’s really a manifestation of how. [00:24:04] Matt Yanchyshyn: We kind of intend and to go to market anyway. Uh, so I think, you know, and thanks for leading the way, by the way. You’re, you’re amongst the very first, so that’s great to see. [00:24:11] Matt Yanchyshyn: So these storefronts are really helping this drive, drive this. Well, [00:24:13] Matt Yanchyshyn: that’s the next evolution. Like we’re talking about the multiproduct solution. [00:24:16] Allison McFadden: I’m JJ Accenture storefront. [00:24:17] Vince Menzione: Yeah. Oh, there you go. I mean, j and j Accenture storefront. [00:24:20] Allison McFadden: We’re gonna talk about that. [00:24:20] Matt Yanchyshyn: Yeah. I mean, [00:24:21] Matt Yanchyshyn: Accenture also leading the way yet again with storefronts. And so I think the combination of. You know, again, I was talking a lot about conversion. Yeah. And you know, buyers know sometimes they know what they wanna buy and, but if you really wanna convert that lead, you wanna land them again, something that combines, you know, elastic Accenture’s services plus software, but in a storefront that is, you know, surrounding with just the solutions they want so they don’t need to kind of go searching. [00:24:42] Matt Yanchyshyn: So, you know, ultimately reducing that time to close, I guess, really ’cause meeting the customer where they are with what they need. [00:24:51] Matt Yanchyshyn: So we talk about co-selling a little bit. We, Jay and I talk about this all the time. We gotta keep looping Jay in here, even though he is not even in town this week, but Reko, um, what does co-sell look like inside Elastic? [00:25:02] Matt Yanchyshyn: You’ve got, we talked about an incredible leadership team. I’ve gotten meet some of your leaders. Seems like you drive, you do a good job internally driving that. Let’s talk a little bit about it. [00:25:11] Rekha Thangellapalli: Yeah, and this is something I’m, I’m personally very passionate about. Um, co-sell is. Very much a journey, not a destination. [00:25:20] Rekha Thangellapalli: And I think step one for us is recognizing the different partner types that we have. Because at Elastic we work with, you know, OEMs, MSPs, resale distributors, GSIs, um, and they all bring something very unique. To the customer lifecycle and they all contribute very differently within, you know, our own sales cycle and sales process. [00:25:45] Rekha Thangellapalli: And so, you know, figuring out what is the unique benefit they bring, how do we enable them? So training and enablement is a huge piece of it, and so is making sure we’ve got the right metrics to measure success. Um, I know a lot of companies look at partner sourced as the north star, and that’s great, right? [00:26:06] Rekha Thangellapalli: Because that is undeniable. You can say, Hey, that would not exist if it wasn’t for my partner team. Um, but we’ve also noticed that when we bring in GSIs, it actually increases renewal rates. It significantly increases. Um, a RR over time. Um, it expands deal sizes and so these are very real metrics that we can point to, um, beyond just the co-sell and the partner sourced number. [00:26:32] Rekha Thangellapalli: Um, so for us it’s looking at it from a very holistic perspective, but also catering it towards that unique partner and making sure we’re doing everything we can to set them up for success and setting up the partnership for success. [00:26:47] Vince Menzione: So clo close win ratios, deal size and renewal rates? [00:26:52] Rekha Thangellapalli: Yes. For specifically for geos size. [00:26:54] Rekha Thangellapalli: Yeah. [00:26:55] Vince Menzione: Very interesting. Allison, uh, what had to change internally to produce these co-selling? We talked a little bit about the field organization and enabling a, a group of, and, you know, account sellers that are very customer focused and enabling them on the co-sell side. What had to change internally to drive that? [00:27:13] Vince Menzione: Yeah. [00:27:14] Allison McFadden: I, I might have already alluded to this a little bit in a previous answer, but, um, creating the capacity to develop, build, and sell these solutions, um, inside of a large GSI, where billable hours is kind of the number one metric on the table. Um. Is part of the investment that we had to make within Accenture to get this done? [00:27:36] Audience Member: Yeah, [00:27:36] Allison McFadden: so expert technology time. So we have technologists that understand the elastic technology. We do similar with Nvidia, by the way, we. We released some of their time to go co-develop the solution because it has to hold technical water, right? It can’t just be a marketing pitch. It can’t just be, it has to be a real, um, what’s the there, there. [00:27:59] Allison McFadden: So in order to actually do proper co-sell, we had to release some of that time. Um, to invest in those partnerships. Um, we’ve also done similar with some industry aligned business development leaders recently, so we have freed their time up to go. Uh. Open new conversations, educate client, account teams, go to clients, have conversations. [00:28:26] Allison McFadden: Um, so that, that’s a new motion that we, uh, have just kind of recently made, um, to allow them, I love this brain one, brain two also, right? So to allow them to focus on brain two, because a lot of our time. Typically spent delivery issues, you know, getting my hours, where am I charging my time? And so just freeing up a little of that capacity to do this work, um, helps get us in this brain two mode where we’re not just living to survive. [00:28:56] Vince Menzione: I. So, Matt, you’ve removed a lot. I mean, one of the things I admire, I admire AWS for being first to market and removing the most friction in marketplace of any of the vendors. Really, truly that. You talked about some of the announcements. How does some of, how does some of this tie PC central agents propensity sales plays, MCP, how does some of this tie to how, how you’re thinking about the future? [00:29:18] Vince Menzione: And how to enable more motions like this. [00:29:20] Matt Yanchyshyn: Yeah. Well, I, I think if you know my boss, UBA Borno, uh, you’ll know that she has a maniacal focus on automation. Yeah. Um, and, uh, co-sell is increasingly automated. You know, you were asking earlier about propensity data. You can get that propensity data in addition to sales plays and, uh, opportunity scores through the partner central agents. [00:29:38] Matt Yanchyshyn: So things that used to require multiple calls to A PDM, if you’re lucky to have one. Yeah. Or a p sm. Uh, you, you can now get through, through these agents, you know, uh, tech Systems, TGS, they, they manage what, over 5,500 customer opportunities with agents that they built on top of our partner Central APIs. [00:29:55] Matt Yanchyshyn: Um, and work Span has built a whole product and business that’s right on leveraging, uh, our APIs, our capabilities to sort of tie into your CRM. So, majority of all opportunities will be progressed and managed by agents. This year at AWS, we already have a majority of all customer opportunities, all app have a partner attached and I, I took a personal goal for a majority of those partner attachments, not to happen from a human. [00:30:22] Matt Yanchyshyn: But from our solution matching engine. And how do you get recommended by that solution? Matching engine, having a healthy ACE pipeline, thanks to partner central agents and the integrations you’re doing. And in addition to being the specializations and doing things like multi-product solutions and ultimately closing opportunities, you dream of LAR and so LAR will help that. [00:30:40] Allison McFadden: It’s more like a nightmare. [00:30:41] Vince Menzione: And so, you know, [00:30:42] Allison McFadden: it’s more like a nightmare, but [00:30:44] Vince Menzione: nightmare. Well, it’s, it’s, yeah. Nightmare of Laura and, and. Nice dreams of PRM, but the, um, but that’s the loop, right? I, I think, uh, increasingly co-sell for us, and in my mind, is largely a hundred percent automated. Yeah. Except for what matters most, those most largest, most strategic, most complex deals. [00:31:01] Vince Menzione: Where our highly paid and very skilled salespeople are most effectively used. [00:31:05] Vince Menzione: Yeah. [00:31:05] Vince Menzione: You know, the days of, you know, this person with 20 years experience selling, clicking, progressing opportunities through a pipeline, uh, should be over. Uh, and, and we need those people out, out selling and, and co-selling. And so that for me. [00:31:19] Vince Menzione: Yeah. That, you know, we talk a lot about co-sell, but I, I’m obsessed with automating as much of the co-sell as possible. [00:31:24] Vince Menzione: I remember going back to the ex Excel spreadsheets and, and that, that seems to be be Viva became spreadsheet jockeys. [00:31:31] Vince Menzione: Yeah. [00:31:32] Vince Menzione: And, and they stopped selling. They forgot how to sell. [00:31:34] Vince Menzione: Yeah. And people spend all this time doing lunch and learns and things like that. [00:31:36] Vince Menzione: And then, you know. Then the salespeople rotate out after 18 months and, and it, that’s, that’s the old days. Uh, you know, the new days are, are AI powered matching algorithms, uh, ag agentic co-sell, using the partner essential agents to get your data and, and putting that data to use automatically and, and what sounded like magic. [00:31:51] Vince Menzione: 12 months ago is being done, you know, by partners at massive scale across thousands of opportunities. You can do it today. And you know, I, there’s a guy named another Mike, right? Mike another Mike who they have, there’s like a guy who’s doing all this and I’m picking on Mike ’cause I, I know their system really well and I know the guy Mike grew easily built it for them. [00:32:08] Vince Menzione: Um, but, you know, I think, yeah, again, in the days of having 10 people sort of doing lunch and learn could be replaced by one or two people, building agents, uh, managing a massive pipeline. And, and that’s the future. [00:32:18] Vince Menzione: Exactly. James, your perspective on what breaks with co-selling? [00:32:22] James Kang: Oh, what breaks co-sell? Um, I would say. [00:32:25] James Kang: It, it starts and finishes with just misalignment and a loss of trust with the customer, especially when you have multiple partners or stakeholders involved. If you’re trying to do a three-way deal with a end customer and you’re not on the same page, you’re not gonna get to a successful outcome on, on the backend. [00:32:44] James Kang: Uh, the fix is a much more complicated story. I would say that to take a step back, um. We’ve talked about the five layer cake. We’ve talked about where NVIDIA kind of fits within the equation. We are invested in the ecosystem and so as different players and application organizations win and see these outcomes for end customers, we celebrate that success. [00:33:07] James Kang: Um, and as part of that kind of ethos of where NVIDIA fits within the ecosystem, we wanna make sure that not only. Our customers, but our partners like ISVs and GSIs are set up for success. Um, we do not as Nvidia sell hardware or GPUs directly to customers We use. Hyperscalers like AWS as kind of our force multiplier. [00:33:31] James Kang: And similarly we think of ISVs and GSIs as the force multipliers in terms of our extensions of how we, we kind of leverage the relationships and build the trust with our end customers. And so going back to kind of the question, Vince, I would say that it all comes back to trust and being able to build that mutual trust. [00:33:48] James Kang: Um, a lot of what we do when we co-sell with AWS is really on the software layer. Um, we actually have more software engineers at NVIDIA than we have hardware engineers, which is a weird thing to say, um, because everyone knows us for our GPUs. But because of that fact, we are heavily invested in Cuda and making sure that Cuda becomes the foundational layer for how not only our ISVs and GSIs, but also our end customers are building. [00:34:12] Vince Menzione: Very cool. So Reiki, you and James together on this production. Versus pilot with the Gentech ai. Tell us a little bit more about that. Where, where are you in the process? [00:34:24] Rekha Thangellapalli: Yeah. So I mean, in general, what we’re seeing out in the market in, in relation to sort of AI and, and customer’s journeys is that, um, at least from an elastic perspective, um, we’re seeing people very much in production when it comes to, you know, kind of AI assistant co-pilot use cases. [00:34:42] Rekha Thangellapalli: So, you know, things like, um, software development, customer support is a big one. Um, any sort of employee productivity use cases where there’s. Still a human in the loop somewhere. Um, and there’s a very like, clear path to value. And so we see the customers being in production excelling there. Um, no problem. [00:35:01] Rekha Thangellapalli: Where we’re seeing people still kind of in the pilot phase is those fully autonomous workflows where there is no human involved. The agent is reasoning on its own. Um, accessing multiple systems and taking an action on the user’s behalf. And what we’re seeing is that it’s not the intelligence of the agent that’s holding it back. [00:35:26] Rekha Thangellapalli: It’s more about giving the right context to the agent and having the right. Security kind of governance controls in place for the company to feel comfortable in putting these fully autonomous workflows into production. And that’s really the conversation we’re having is all right, what are the controls you need in place? [00:35:47] Rekha Thangellapalli: For you to release this to your business unit. Um, and what is the context that the agent is needed before we can comfortably let the agent make the decision on the user’s behalf? Um, James, I’d be interested to hear what you’re, what you’re seeing in the market [00:36:03] James Kang: plus one on all things context. I, I would even go so far as to say, um. [00:36:09] James Kang: H how many folks in the audience have heard of token maxing? Like this new term? [00:36:13] Rekha Thangellapalli: Yeah. Yeah. [00:36:14] James Kang: Um, I’ll, I’ll give a very specific example of, of Uber that went public. With the example of Claude, like they allowed all of their employees to use as many tokens as possible, and within the span of four months, they exhausted their full budget for the year, and so they had to pull back, and now there’s a cap on every employee. [00:36:33] James Kang: I think the number that’s circulating is $1,500 per month per employee, and so I think that is at least. In this multi-phase evolution of where we’re going to be and where we’re today, cost has become kind of the prohibitive force in terms of agentic AI at scale. Um, I think we are working on some very creative solutions in-house and Nvidia. [00:36:55] James Kang: Um. And we saw some really dynamic announcements this week when it comes to all things agent core, um, where we want to focus on very nimble ways for customers to be able to execute and go to market. And one extreme example of that is our investment within our open model strategy. So Nvidia, not only, again, providing GPUs, we actually offer our own op open models, which we call our Nitron models. [00:37:21] James Kang: And through our Nitron models, we are allowing customers to really develop and fine tune their own proprietary models in a cost effective manner. So right alongside the frontier models like OpenAI and Anthropic. It’s not a if then, it’s not an either or statement. It’s a, it’s a permutation, it’s an and So we’re giving you a cost effective alternative to not only bring your AgTech applications at scale by training on Nibo tron, which is open source, but then once you’ve kind of finished and fine tuned that specific training job to be able to. [00:37:53] James Kang: Go ahead and utilize your frontier models, whether it be OpenAI or Claude. And I know there’s other partners here that are providing those kind of different model capabilities. And so I think for us it’s, it’s a matter of choice. We know that this market is dynamic. It’s gonna be evolving over the next coming months as well as the next coming years. [00:38:10] James Kang: Uh, but we believe that we are positioned for a really unique dynamic expansion of AgTech use cases over the, at least the next three to six months. [00:38:20] Vince Menzione: Allison, for the partners in the room who are glazed over right now going, what do I, what do I do over the next 12 months? [00:38:26] Allison McFadden: Should I wake everybody up by saying, yeah, please. [00:38:27] Allison McFadden: Say go hurricanes. [00:38:28] Vince Menzione: Yes. [00:38:29] Allison McFadden: Is there anyone, anybody? Everyone’s like, boo. I get to leave the parade today to go home to parade. I live in Raleigh, so we’ve got our parade on Saturday. Nice. [00:38:39] Vince Menzione: Nice. [00:38:40] Allison McFadden: All right. Wake up. Um, all right. So for the $50 million partners in the room, um. $50 million is not small. You have something that works. [00:38:50] Allison McFadden: Right. This is great. What I would be thinking about is, you know, we’ve talked about focus before, but really doubling down on, you know, what is, what is your industry, what is your client like, ideal client that you serve. And build, um, almost that kind of community. You know, the, the clients we have move from firm to firm to firm. [00:39:17] Allison McFadden: And if you’ve done good work at one, you’re gonna follow ’em to the next. Um, so build that client demand in a specific place or specific client profile that is just like really knocking it out out of the park for you. Um. Scale with marketplace, right? So if you, I, I love some of the data that you were sharing in your talk earlier, um, because it’s like no overhead scaling mechanism. [00:39:45] Allison McFadden: I mean, it’s, it’s fantastic. Um, Accenture, other GSIs like us, we are investing in marketplace. So we’re investing in resources, um, to help us. Use marketplace more with our clients and we’re gonna capture, right, those storefronts. And if you’re present on marketplace, you’re gonna be able to catch, uh, yourself in that wheel. [00:40:09] Allison McFadden: So I think those are the, the kind of couple of things I would say is focus, focus, focus to drive that client demand and use scaling mechanisms like marketplace to really kind of, uh, accelerate. [00:40:24] Vince Menzione: Matt, anything to add there on the. [00:40:26] Vince Menzione: Well just, you know, Ja, James, you, I love the token maxing reference in Uber and it reminds me, you remember when cloud came out and everyone was like, oh, all these people are, are gonna use the cloud and costs are outta control and. [00:40:39] Vince Menzione: Um, a lot of people pulled back from the cloud and, and a lot of those companies no longer exist. And it’s similar with, with, uh, token maxing, like, oh, these agents are outta control. You have a choice. You can embrace them and figure it out and get governance and, and make your data available. Um, use the partner, central agent, move to agent to co-sell, or you can fade and die. [00:40:58] Vince Menzione: And, and that’s, that’s where we’re at. Uh, is, is the, the companies sitting here today embraced the cloud years ago and won. Uh, and and there’s a set of companies here today who are gonna embrace agents in the, for both buyers and sellers, and will win. And there are those who won’t and they won’t win. And so for me, it’s like we’re, we’re at a, we’re at a crossroads. [00:41:18] Vince Menzione: And, and if you’re gonna win, you gotta leap into that, you know? I love it. And, uh, and, and, and it’s, it means the cost of experimentation is so much lower now. Development and, and even business development or software development is, is agent enabled. And so you can take risks, you can experiment and, and you have to, it’s, it’s an existential moment. [00:41:37] Vince Menzione: Agreed. We’ve got a couple minutes left over for any questions. What do you think? Sure. Are there any here. I think there are a couple. Yeah, we’ve got, we’ve got a co-sell question I’m sure coming up here. [00:41:51] Audience Member: Um, I’m Cassandra, I’m the CEO of Partner Tap. And one of the questions I had was, I think, you know, the co-selling between the sellers is where things get. Really, really hard when you’re multi-partner. And so when I was listening, um, with, you know, the Accenture and Elastic together, you talked about how you had, you, you had to get these BD business development people. [00:42:22] Audience Member: Um, is this a new team that is over the client team? And how do these teams interact like with the elastic sellers? Are you doing a lot of coaching to the field and then with if AWS sellers are, are involved, like what is that whole picture? What does look like, [00:42:43] Allison McFadden: like [00:42:44] Audience Member: on the ground? I mean, that is the hardest part, I think, and that’s what we hear. [00:42:48] Allison McFadden: It’s so, it’s so, it’s so tough. Um, and I will, I’ll just say, so our business development leaders that we now have kind of. Expanded their capacity. They have always been, they have always been there. Um, but they have not been well resourced. They haven’t, they haven’t had very clear kind of job description. [00:43:12] Allison McFadden: I’m gonna say I, in the past they have been kind of focused on partner relationship. And so like more like an alliance manager and maybe working on some of the data. Right? So when I say I have nightmares about Lars, because we’re always trying to increase the LAR for Accenture and, and they were focused like in those detailed weeds of like trying to pass ACE and trying to call the PDM and all this stuff. [00:43:39] Allison McFadden: What we are doing is really pivoting them to be proper sales, business development focused on client outcomes and focused on. Technical skills to be able to describe what this solution is to the field. So, um, and because we need, I have many, many questions about, I gotta get agents to work with Eurogen co-sell so that that part somehow goes away. [00:44:05] Allison McFadden: So that’s a, that’s the thing we gotta solve still, but, um, so we’re pivoting them to be kind of driving. More of that co-sell enablement with the field, um, and taking that message to the field rather than being there, waiting for questions to come in from the field, waiting for like our field teams to discover, oh, I saw something that we’re doing with Elastic, like on a press release on LinkedIn. [00:44:30] Allison McFadden: Right. So we’re kind of trying to pivot them to be more proactive. [00:44:33] Vince Menzione: Very cool. [00:44:34] Rekha Thangellapalli: Yeah. And uh, Cassandra, that’s an excellent question because I think. Multi-party, you know, sort of tri-party offerings. The hardest part is operationalizing it at scale, right? Yeah. And so for this particular offering, we are basically having three routes to market. [00:44:51] Rekha Thangellapalli: So one is seeing how this offering fits into our existing elastic go to market. And so I am constantly enabling our field sellers to say, okay, within our three field sales place, here’s exactly where this fits in. Here are, you know, uh. Keywords that you hear in customer conversations where you bring up this offering and here’s a process of how it works. [00:45:14] Rekha Thangellapalli: Um, exactly At what sales stage do I bring in Accenture, how, you know, what are the roles and expectations? Right? So that’s on the elastic side. We’re doing the same thing on the Accenture side. So we’re doing a ton of training enablement and lunch and learns, and we’re also looking at how do we fit into. [00:45:31] Rekha Thangellapalli: Uh, Accenture’s AI transformation projects, we are the semantic layer, right, of their enterprise brain. And so it’s a whole different sales motion, um, and, you know, having the right assets, having the right process again to make sure that that goes smoothly. And then finally, we’re going directly to the customer. [00:45:49] Rekha Thangellapalli: So we are launching multiple external campaigns where, you know, if the customer raises their hand. We will, we will line up immediately. Right. Um, and so, [00:46:01] Allison McFadden: I mean, I can’t, I can’t, I can’t say how important that third leg of the stool is. ’cause the second part, she talked about getting into our catalog is the first thing. [00:46:09] Allison McFadden: ’cause my BU business development leaders have the catalog. Right. And that’s what they’re selling. So what Elastic has done has gotten into one of those offerings and then. If we have a customer that asks for it, that is the fastest way to alignment. That is like the number one thing that we respond to [00:46:26] Vince Menzione: customer at the center. [00:46:27] Vince Menzione: This is great. Well, I think we’re up to time. This was a great session. I want to thank you. This is what a great, what a great group. [00:46:34] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. Subscribe where [00:46:43] Vince Menzione: you listen, and head over to the ultimate partner.com. [00:46:47] Vince Menzione: For show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything [00:47:09] I.

O Império da IA, com Karen HaoEm 2019 — tempos mais simples! — a jornalista Karen Hao foi fazer o primeiro “perfil” jornalístico da sua carreira, aquelas reportagens em que um jornalista passa dias acompanhando uma pessoa ou empresa, uma coisa meio biografia, meio retrato congelado no tempo.A tal empresa era uma startup do Vale do Silício, ainda pequena e desconhecida dos meros mortais como eu e você, mas que hoje é a mais valiosa da história: a OpenAI, também conhecida como “a criadora do ChatGPT”.A Karen Hao vendeu o projeto do perfil para o MIT Technology Review porque a OpenAI parecia, naquela época, uma startup diferente. O “open” no nome nasceu da visão de que inteligência artificial é um assunto tão importante para o futuro da humanidade que precisava ser explorado de um jeito aberto, compartilhando conhecimento com todo mundo, e mais preocupado em proteger esse tal futuro do que em só gerar lucro.Hoje, aqui direto de 2026, a gente já sabe que não foi exatamente isso que aconteceu. Com o tempo, a OpenAI se transformou numa empresa oficialmente voltada para o lucro como qualquer outra e chegou a ser processada por Elon Musk — um dos apoiadores iniciais do projeto — por quebrar essa promessa de ser ‘open'. Em maio, o Elno perdeu a causa, e a OpenAI agora se prepara para lançar as ações na bolsa e, pelos números atuais, já largar valendo mais de 1 trilhão de dólares.Mesmo em 2019, a Karen Hao sentiu que todo esse papo de “open” não era bem assim: segredos e competitividade em todas as conversas que ela ouvia na empresa. Publicou o tal perfil contando isso e o pessoal da OpenAI… não gostou muito. Achou que ela ia só falar bem deles, e a empresa cortou contato com ela por três anos.O Boa Noite Internet é uma publicação apoiada por pessoas como você, nosso público. Para receber novos posts e apoiar meu trabalho, considere tornar-se um assinante gratuito ou pago.Até que, em maio do ano passado, ela lançou nos EUA o livro O império da IA: Por dentro da corrida irresponsável pela dominação total, que segue contando a história da OpenAI — e abre com a bizarra saída do Sam Altman, demitido do cargo de CEO por “nem sempre falar a verdade” ao conselho da empresa, para voltar quatro dias depois nos braços dos funcionários.Mas esse livro não é exatamente uma biografia da OpenAI. Para mim, é mais um retrato de todo o sistema empresarial em que vivemos hoje — inteligência artificial ou não. O importante é que ele acabou de sair no Brasil pela Editora Rocco, que me procurou para saber se eu queria entrevistá-la aqui no programa, aproveitando que ela veio participar do Esquenta do Congresso Internacional de Jornalismo Investigativo da Associação Brasileira de Jornalismo Investigativo. O congresso, aliás, acontece dia 30 de julho — vai lá no site da Abraji saber mais, quem sabe comprar seu ingresso.Mas enfim, claro que eu queria conversar com ela. Obrigado, Abraji, obrigado, pessoal da Rocco, pelo presente. Quem me conhece sabe que IA agora é um assunto muuuito importante no meu trabalho. Eu fico aqui tentando navegar o meio do caminho entre o fim do mundo exterminador do futuro e a utopia vendida por muita gente. Não acredito em nenhum dos dois cenários, falei disso com a Karen antes e durante a conversa. Mas no final da entrevista a gente volta para falar não só disso, como também de como o IA em Curso, minha comunidade de letramento contínuo em IA, se conecta com tudo. Com promoção? Pode ser. Quem ficar até o fim, verá.A entrevista foi gravada em inglês — a Karen também fala mandarim, mas não fala brazilian —, então vai funcionar assim. Se ouvir no áudio, vai ser a versão original, do mesmo jeito que foi com o Ted Chiang ano passado, para você botar o seu cursinho para trabalhar. Aqui no site boanoiteinternet.com.br você está acompanhando a transcrição completa traduzida, se quiser ler enquanto ouve. E no YouTube tem uma versão legendada. Assim, você entra na conversa do jeito que preferir.Combinado? Então, bora lá entender O Império da IA com Karen Hao, no Boa Noite Internet.Cris: Karen Hao, bem-vinda ao Boa Noite Internet.Karen Hao: Obrigada pelo convite.Cris: Que bom ter você aqui. Espero que o Brasil esteja te tratando bem durante a Copa do Mundo — a gente veio falar sobre isso. Hoje é dia de falar de futebol, de Copa do Mundo, quais são as chances de cada país. Mas a primeira coisa que você precisa saber sobre essa conversa é que eu não sou jornalista. Não sei fazer isso. Peço desculpas antecipadas à sua profissão e ao seu ofício.Além disso, você foi enganada. Eu não estou aqui pra te entrevistar. Isso aqui é uma sessão de terapia. Você vai me ajudar a superar meus traumas.Porque eu sou da… do que eu chamo de “geração esquecida” — sou geração X, nasci nos anos 70. Esquecida porque, nessa guerra de gerações, as pessoas esquecem que a gente existe, e isso é incrível, porque a gente causou muito estrago no planeta. O Elon Musk é geração X, então é só isso que você precisa saber sobre a minha turma. Gente como ele, ou como Marc Andreessen… eu cresci lendo e assistindo à ficção científica que dizia que tecnologia é a melhor coisa do mundo, que ciência e engenheiros são incríveis e vão nos levar pra um lugar incrível.Sou uma daquelas pessoas que, quando a internet surgiu, falou: a paz mundial está logo ali. O conhecimento a um clique de distância, o futuro vai ser incrível. E aqui estamos nós. Então, quando usei o GPT pela primeira vez, e depois o ChatGPT, fiquei super empolgado. Foi a primeira vez, desde a internet, que eu fiquei realmente empolgado.Tenho até uma certa fama de ser mal-humorado com tecnologia: Bitcoin é lavagem de dinheiro, Clubhouse não presta — e as pessoas, ah, Clubhouse é a próxima grande coisa. Mas quando a IA chegou, eu falei: isso é importante. Só que eu já não era mais aquela criança dos anos 70. Tinha crescido, tinha visto o que aconteceu com a internet, tinha trabalhado numa big tech. E estava em desespero com o sistema em que a IA estava sendo construída.Dito tudo isso, o seu livro, aqui, já nas livrarias, recebe provavelmente o melhor elogio que eu posso dar: é otimista. Não é uma lista de reclamações e gente má fazendo coisas más. Claro, você fala muito sobre a OpenAI — ela é o fio condutor da história, especialmente aqueles quatro dias em que o Sam Altman saiu e voltou. E é muito divertido de ler. Mas você toma o cuidado de ser otimista.E uma das coisas que você menciona é como as pessoas na OpenAI, e em todas essas empresas, dizem: “isso é inevitável, a gente tem que fazer”. Quero falar sobre isso. Mas a gente tem que começar pela pergunta que você provavelmente ouve em todo podcast, a do título — Império da IA. Por que império?E acho que essa pergunta é ainda mais relevante no Brasil, país do sul global, colonizado. Por que império da IA?Karen Hao: Antes de mais nada, obrigada por dizer que o livro é otimista. Muita gente não reconhece isso, mas é verdade. Eu escrevo com um profundo otimismo de que os danos que a gente vê podem mudar. Não faria o trabalho que faço se não achasse que as coisas vão mudar.Sobre por que eu uso a expressão império, ou império da IA: a forma como empresas como a OpenAI operam é impressionantemente parecida com a dos impérios antigos. Eu traço quatro paralelos no livro. O primeiro é que elas reivindicam recursos que não são delas — os dados das pessoas, a propriedade intelectual de artistas, criadores como você, jornalistas.Segundo, elas exploram uma quantidade extraordinária de mão de obra. Isso vale tanto para os trabalhadores da cadeia de produção de IA, mal pagos e maltratados, que ainda assim geram uma riqueza extraordinária para essas empresas, quanto para os trabalhadores cujos empregos são automatizados e cujos direitos são corroídos pela implantação dessas tecnologias em diferentes setores.A terceira característica é que impérios controlam os fluxos de informação na sociedade. Essas empresas censuram a pesquisa fundamental sobre essas tecnologias, o que limita nossa capacidade de entender as verdadeiras limitações e capacidades dos modelos que desenvolvem. E estão criando uma tecnologia de informação que tentam transformar no portal único pelo qual qualquer pessoa se relaciona com o mundo.Esse portal impregna as ideologias do Vale do Silício, seus sistemas de valores, sua língua, e projeta a hegemonia do inglês. Isso influencia boa parte do conhecimento que a gente vai produzir daqui pra frente, porque cientistas e educadores usam essas plataformas e acabam perpetuando essas mesmas ideologias e valores.E o quarto e último paralelo é que impérios sempre se agarram a uma narrativa existencial ou moral sobre por que precisam existir. Essas empresas fazem a mesma coisa. Dizem que são o “império do bem”, numa missão civilizatória de trazer progresso e modernidade pra toda a humanidade, competindo contra um “império do mal” que ameaça mandar a humanidade pro inferno.Quando você conversa com algumas pessoas dentro dessas empresas, ou que as lideram, elas dizem: se você nos deixar construir uma inteligência artificial geral, que elas de alguma forma moldam como um deus, a gente vai acabar numa espécie de utopia, um paraíso onde a mudança climática é resolvida, o câncer é curado, a pobreza é aliviada.Mas, se os caras maus conseguirem isso antes, a gente pode acabar com todos os humanos mortos — um risco de extinção pra todos nós.Cris: E eles vêm dizendo isso há quase dez anos, e ainda usam como ferramenta. A gente está num país que foi influenciado por três impérios ao longo da história: Portugal, Inglaterra e agora os Estados Unidos. Então a gente olha pra essas empresas de um jeito meio cínico: sim, sim, já conhecemos essa história.Mas, ao mesmo tempo, ano passado, o Pew Research Center fez uma pesquisa sobre como o mundo enxerga a IA, e o sul global é bem mais otimista do que o norte. Uma das razões é a ideia de democratizar — não só informação, mas: ah, finalmente eu posso montar uma startup, sair desse lugar de exploração e criar o unicórnio de um bilhão de dólares. Os números são grandes na China. Países em desenvolvimento veem muito mais benefício do que risco na IA.China, 83%. Tailândia, 77%. Holanda, 36%. Canadá, 40%. Será que a gente está deixando passar alguma coisa? A gente está certo? Isso está democratizando mesmo? Até que ponto?Karen Hao: Provavelmente tem duas razões. Uma é que muitos dos danos que a indústria de IA causa à maioria global são bem escondidos. Ela se esforça muito pra esconder como polui o ambiente dessas comunidades, como explora e devasta a mão de obra, deixando traumas psicológicos — como documento no livro.E, recentemente, li um artigo de opinião no New York Times que trazia um bom ponto: muitas economias desenvolvidas estão especialmente atentas ao potencial da IA de desmontar oportunidades de emprego de tempo integral. A gente começa a ver isso cada vez mais. Já na maioria global, muito mais gente vive em economias informais, e aí a ideia de que a IA vai tomar um emprego de tempo integral não pesa tanto.Então os danos mais visíveis — a erosão do emprego formal de tempo integral — pesam mais no norte global, ou pelo menos é lá que as pessoas se sentem mais ansiosas. E os danos invisíveis, que atingem o sul global, ninguém percebe tanto, justamente porque são invisíveis. É meio por isso que tanta gente sente essa divisão que aparece na pesquisa do Pew.Cris: Eu tenho acompanhado as notícias sobre IA no Brasil, e toda semana tem um novo data center sendo construído em alguma cidade. Isso é vendido como uma coisa boa: que ótimo investimento, gera emprego. E me fez pensar de novo — a gente passou por três impérios, mas algumas famílias no Brasil, e aposto que em outros lugares também, estão no poder há 500 anos ao longo da história do país.Então, ao mesmo tempo, a gente pensa: é, estamos sendo explorados, é a mesma coisa. Eu já não tenho emprego, então deixa eu usar essa tecnologia pra melhorar minha vida. Mas as pessoas que realmente tomam as decisões, de novo, nos últimos 500 anos, se perguntaram: como a gente ajuda esse pessoal a explorar nosso país de um jeito que nos mantenha no poder e nos dê muito dinheiro?Mas também foi verdade que, sei lá, a Volkswagen abre uma fábrica no Brasil e aquilo gera emprego, contrata gente pro chão de fábrica e pros escritórios. Como é que isso é diferente com a IA?Karen Hao: De certa forma, não é diferente. Existe um fenômeno parecido: a indústria de IA terceiriza muitos dos trabalhos que ela não quer dentro dos centros de poder, e joga isso pra comunidades empobrecidas, do mesmo jeito que outras multinacionais fizeram por décadas.Mas também é diferente, porque a escala dos impactos trabalhistas e ambientais da IA é completamente outra, muito maior que a da indústria automobilística ou da moda. E a velocidade é outra, porque são tecnologias digitais que atravessam fronteiras muito rápido.E é diferente porque a maioria das pessoas não percebe que a IA, mesmo sendo tecnologia digital, tem uma cadeia de suprimentos muito física e intensiva em mão de obra manual.Quando você compra roupa, café, um carro, é mais óbvio que existem materiais que precisam ser extraídos e depois manuseados por pessoas pra criar aquele produto. Já com a IA, a maioria aceita a narrativa que o Vale do Silício projeta: a de que isso vem da “nuvem”, desses espaços etéreos que parecem nem existir no planeta. E a verdade é exatamente o oposto.Ela depende de uma quantidade extraordinária de extração mineral. Depende da construção de infraestruturas enormes — data centers, instalações de supercomputação espalhadas pelo mundo. E depende de muita, muita mão de obra manual: trabalhadores de dados que limpam, preparam e moderam o conteúdo dos sistemas de IA que chegam até você quando usa o ChatGPT.É isso que a torna tão diferente. E há também uma ideologia completamente diferente sustentando a expansão da IA. Quando você conversa com executivos da moda, eles não vão dizer: se você não comprar nossa roupa, vai pro inferno.Já a indústria de IA diz: se você não nos deixar capturar cada vez mais terra, mais recursos e mais mão de obra pra produzir essas tecnologias, vamos ter uma destruição civilizacional. Isso é, ao mesmo tempo, retórica política usada como arma pra moldar o debate público e a cabeça de quem formula políticas, e também está enraizado num sistema de crenças — algumas pessoas dentro dessas empresas realmente acreditam que, se uma AGI fosse construída, e construída nas mãos erradas, isso levaria mesmo a esse tipo de destruição.E é isso que move a sede cada vez maior da indústria por mais capital, mais recursos e mais terra.Cris: Eu quero falar sobre AGI, mas antes: ano passado, a OpenAI estava sendo processada no Reino Unido por violação de direitos autorais, basicamente todos os livros do mundo digitalizados e usados pra treinar modelos. E um dos executivos disse ao júri: bem, se a gente não puder fazer isso, fecha as portas. Me chocou que muita gente reagiu com um “ah, tá, o que a gente pode fazer? Eles vão fechar as portas”.Em parte porque a gente já está acostumado com essa narrativa. Outro dia, numa conferência, um ex-CEO dizia: a gente teve que usar embalagem de plástico porque é mais barata que papel, senão prejudicaria nosso resultado. E a plateia reagia: ah, então é só fechar as portas — a sociedade não pode arcar com isso.Mas isso também, como você disse, se conecta à ideia de uma grande missão, uma missão de salvar o mundo, que a gente precisa cumprir antes que seja tarde, senão estamos condenados. OpenAI está literalmente no nome — só que em português não é tão direto: é “inteligência artificial aberta”.Foi criada a partir de um sonho, um projeto que era pra ser uma coisa pro bem comum. Em 2019, num tempo bem distante, antes da pandemia, você cobriu a OpenAI, foi até o escritório deles, ficou lá dentro. O que você viu? E, mais importante, como essa missão mudou? O Elon Musk os processou outro dia justamente por mudarem a missão. Isso alguma vez foi verdade? Em algum momento eles pensaram mesmo “ah, a gente vai salvar o mundo”?Como essa narrativa de ser aberta funciona com a OpenAI?Karen Hao: Quando comecei a cobrir a OpenAI, levei a sério o que eles diziam — que tinham sido recrutados com a missão de beneficiar toda a humanidade. E aí, quando me infiltrei na empresa, fui ficando bem mais cética, porque via como eles operavam de um jeito completamente diferente, portas adentro, do que diziam em público.Diziam que iam publicar todas as pesquisas e abrir o código de tudo, e na prática eram uma das organizações mais secretas que já cobri. Eram muitas discrepâncias, e, na época, presumi que tinha havido algum tipo de corrupção que os levou a abandonar a missão original. Depois de cobrir a empresa por mais alguns anos e de trabalhar neste livro, mudei de ideia até sobre a missão original.Não acho mais que ela era um esforço sincero e generoso de beneficiar a humanidade. A missão foi criada pra dar à empresa — na época, uma organização sem fins lucrativos — uma margem de manobra extraordinária pra depois levantar muito capital, acumular muito talento e perseguir a força motriz de verdade por trás de tudo aquilo: se tornar a força dominante no desenvolvimento de IA.E penso assim agora porque, quando você olha pras narrativas de cada nova empresa de IA no começo — a Anthropic, a xAI, a Safe Superintelligence do Ilya Sutskever, a Thinking Machines Lab da Mira Murati —, todas usam a mesma narrativa da OpenAI: nós somos os mocinhos, eles são os bandidos.É por isso que precisamos criar uma nova empresa que avance a IA do nosso jeito, não do deles. E você começa a perceber, por esse padrão, que eles repetem a mesma coisa em parte porque acreditam nela até certo ponto, mas também porque ela funciona muito bem com a imprensa, com o público, com quem formula políticas.No livro, eu reproduzo os e-mails internos que Elon Musk, Sam Altman e Greg Brockman trocavam nos primeiros dias da OpenAI. Eles tinham plena consciência de que estavam criando uma missão que soasse bem para o público. E o propósito de verdade, que também deixaram registrado nesses e-mails, era vencer o Google. Viam o Google como a força dominante em IA e queriam ser eles essa força.Não gostavam de ver o Google na frente, então inventaram justificativas: o Google é uma empresa com fins lucrativos, então nós vamos ser sem fins lucrativos. Mas, no fundo, acho que era puro ego: tem que ser a gente, não eles, a gente quer ser quem lidera isso.E aí passaram um tempão moldando essa missão pública, que acabou sendo super útil pra recrutar o primeiro grupo de pesquisadores e turbinar o avanço deles.Cris: Então agora é um bom momento pra falar de AGI, a inteligência artificial geral. Muita gente pergunta: o que é AGI? O que “geral” quer dizer? E a impressão que peguei lendo seu livro é que, por design, isso nunca fica claro de verdade, porque é um alvo móvel. Essas empresas um dia vão dizer “chegamos, alcançamos a AGI”? Ou o plano é sempre “não, não, ainda não chegamos, me dá mais dinheiro, me dá mais poder”?Qual é o papel da AGI na narrativa dessas empresas?Karen Hao: Já que a gente está falando de ficção científica, eu costumo usar a analogia de que o mundo da IA é meio como Duna. Em Duna, o personagem principal, Paul Atreides, entende, ao chegar no planeta Arrakis, que o povo de lá foi semeado com um mito: o de que um dia viria um Messias pra libertá-los. Ele sabe que é um mito, mas decide entrar nele e agir como se fosse o Messias pra controlar melhor aquele povo.E, vivendo, respirando e encarnando esse mito dia após dia, ele começa a perder a noção de que é um mito. Passa a se perguntar se o mito era mesmo verdadeiro ou se foi ele quem o tornou verdadeiro. É essa confusão entre mito e realidade — ele vive num espaço intermediário, sem ter mais certeza do que é verdade e do que é ficção.E trago isso pra responder sobre a AGI porque a AGI é, ao mesmo tempo, um mito e algo que os líderes e os trabalhadores dessas empresas vivem, respiram e encarnam dia após dia, a ponto de perderem a noção do que é mito e do que é realidade. É a ideia de um sistema de IA teórico que um dia igualaria as capacidades humanas. Só que a gente nem tem consenso científico sobre o que é inteligência humana.Por isso, de certa forma, por design, é um termo bem maleável, que deixa essas empresas fazerem o que quiserem. Elas definem e redefinem a AGI conforme a necessidade, movem a trave pra onde quiserem. E, ao mesmo tempo, isso é sustentado por uma crença genuína de certas pessoas lá dentro, por causa dessa confusão entre mito e realidade. Pelas minhas contas, a OpenAI já usou pelo menos quatro definições diferentes de AGI.A primeira está no site deles: “sistemas altamente autônomos que superam humanos na maioria dos trabalhos economicamente valiosos”. É uma definição de automação do trabalho — eles dizem, de forma explícita, que estão atrás dos empregos mais bem pagos. A segunda apareceu no contrato com a Microsoft, por um tempo a maior investidora deles: ali, a AGI virou um sistema que geraria 100 bilhões de dólares em receita.Ou seja, uma definição feita pra incentivar a Microsoft a investir. Já o Sam Altman disse ao Congresso que AGI é um sistema que cura o câncer e resolve a mudança climática — uma definição de benefício social, muito útil quando você quer que os reguladores não te regulem.E, por fim, quando falam com o consumidor, dizem que vai ser o melhor assistente digital que você já teve — porque, claro, estão tentando vender o produto.E aí você percebe duas coisas. Primeiro, que é um conjunto de definições completamente incoerente. Segundo, que eles trocam de definição conforme o público que querem convencer. Mas também tem gente nessas empresas que acredita de verdade que está construindo uma tecnologia capaz de dar conta das quatro coisas.Então é uma realidade bem confusa e complicada: o que a AGI de fato é, e pra que ela serve, para essas empresas, para a agenda delas e também para as crenças delas.Cris: Como ex-funcionário da Meta — entrei em 2013 —, a missão era unir o mundo e torná-lo mais aberto e conectado. É uma missão incrível. E tem uma coisa que eu sempre digo, porque muito amigo meu vem falar comigo, “ah, esse cara da OpenAI, ou a própria Meta, são maus”. Eu conheci muita gente na empresa. Nunca conheci uma pessoa mal-intencionada.Todo mundo, independente da missão, era gente boa tentando entregar o melhor produto possível, pra dar poder a quem tem um pequeno negócio, por exemplo. Tenho amigos pessoais que construíram a empresa deles em cima da publicidade do Facebook e do Instagram. E esse é justamente o problema, porque ainda assim é uma corporação muito má, pelo que ela causa ao mundo pra bater as metas de negócio.Ou seja, você não precisa de um vilão tipo Lex Luthor pra causar um estrago desse tamanho no mundo. E adorei a referência a Duna. Duna é engraçado: é o livro que eu mais reli na vida que não foi escrito pelo Tolkien. Li o primeiro Duna umas três vezes, e toda vez é como se fosse um livro diferente. Na primeira, eu era adolescente, e era só o Paul Atreides, o cara durão.Na segunda, eu morava no Canadá e li com olhos de estrangeiro, pensando em colonização. E na terceira vez foi quando os filmes do Denis Villeneuve saíram, e aí era: ah, o Bene Gesserit criou esse mito, isso é meio pós-moderno. Narrativamente, fico me perguntando o que vai significar pra mim se eu ler uma quarta vez.Karen Hao: Eu ia te perguntar isso. Quando você disse que cresceu numa época cheia de ficção científica falando das maravilhas da tecnologia, fiquei curiosa: que histórias você estava lendo? Porque muita coisa que saiu nos anos 70 e 80 dizia exatamente o oposto. E muita gente já apontou que os executivos de tecnologia de hoje, que vivem citando essas histórias, interpretam elas justamente ao contrário da intenção original.Cris: Concordo plenamente. Mas, respondendo: foi basicamente Isaac Asimov e Arthur C. Clarke. E é por isso mesmo — os executivos de tecnologia, e o Elon Musk mais que todos, leem esses livros como receita, não como aviso. O livro de que eu mais me lembro, nem lembro o título, era um do Asimov em que ele descreve o elevador espacial que aparece na série da Apple TV, Fundação.E o enredo é: eu sou esse engenheiro brilhante, quero construir essa coisa no Sri Lanka, mas o governo trava tudo com regulação — eu sou um gênio e a regulação é a vilã. Hoje eu leio e penso: ah, sei. Mas, quando garoto, era só “olha, um elevador espacial, que genial, a gente nem precisa de foguete”. E aí você começa a entender. E aí eu parei de ler esses caras.E passei a ler gente com uma visão completamente diferente: o Ted Chiang, que entrevistei ano passado, a N.K. Jemisin, o Cory Doctorow, de quem sou muito fã. E talvez eles sejam mais explícitos, pra gente burra como eu entender: “não, bobo, a analogia é essa”. Mas Duna era incrível — vermes gigantes de areia, o tal garoto durão, e aquela coisa do “eu não aceito o meu destino”.Tenho esse grande destino, mas não quero ele. Do resto da série eu já não gosto tanto. Mas o mais importante de tudo: Duna gerou o melhor GIF de filme de todos os tempos, o “Lisan al Gaib” do Javier Bardem — que eu devia ter colocado durante a sua explicação, aquele “uau, ele está cumprindo a profecia, agindo como o profeta”.Mas, de novo, falando de vilões: você mencionou que essas empresas se colocam como o bem contra o mal, feito impérios antigos. Só que elas também jogam a carta da China, né? “Se a gente não fizer, a Rússia faz primeiro.” Só que a Rússia começou uma guerra e está ocupada demais. “Mas a China chega lá, e é por isso que a gente tem que ser fechado.” É por isso que Mythos e Fable e agora o GPT-5.6 foram proibidos pelo governo. Isso tem fundamento?Quero saber se é possível a China competir — quero mesmo essa resposta — mas também porque, desde toda essa conversa do Fable-Mythos, países como Índia e Brasil vêm dizendo que precisam de um modelo soberano. Dá pra fazer, ou a OpenAI, a Anthropic e o Google estão tão à frente que já não dá?Karen Hao: Sobre a China: você está certíssimo, o Vale do Silício usou por anos a carta do “e a China?” pra escapar de qualquer responsabilização de verdade. Fizeram muito isso na era das redes sociais.A Meta fez muito isso, com o Mark Zuckerberg dizendo ao governo dos EUA: vocês não podem nos regular, senão a gente perde. Mas, se a gente ganhar, vai ter um efeito liberalizante no mundo e nas democracias em todo lugar. E, infelizmente, o que a gente viu foi que jogar essa carta repetidamente produziu exatamente o efeito contrário do que o Vale do Silício prometeu.Uma das empresas de rede social dominantes dessa era é a ByteDance. Ou seja, mesmo sem regulação das redes sociais nos EUA, existe uma empresa chinesa de rede social bem dominante. E as redes sociais estadunidenses acabaram tendo um efeito antiliberal no mundo — é bastante consensual que enfraqueceram democracias em todo lugar. E aí, na era da IA, elas seguiram jogando a mesma carta.Mas o que eu sempre aponto é que a gente definitivamente não devia acreditar nelas. Já existe evidência significativa de que tudo o que elas dizem está, de novo, se provando o oposto. Elas disseram: não regulem a gente como empresas de IA, regulem a China, via controles de exportação — um mecanismo do governo dos EUA com alcance extraterritorial.Só que as empresas chinesas agora estão produzindo modelos de IA de código aberto extremamente eficientes, que viraram super populares no próprio Vale do Silício. Existe um monte de startup de lá que prefere usar modelo chinês a OpenAI, Anthropic ou Google.Então, nesse sentido, é um conjunto de evidências bem decisivo, acho, pra mostrar que a gente devia simplesmente responsabilizar essas empresas, não importa o que digam sobre “ah, vamos perder pra China”. No fim das contas, é só retórica política. Não é um argumento real que elas consigam sustentar pra escapar da responsabilização.Responsabilizá-las vai fortalecer a democracia pelo mundo, vai trazer mais direitos humanos, trabalhistas e de privacidade de dados pras pessoas — é sempre o contrário do que elas dizem que aconteceria. E, sobre a sua pergunta em torno da IA soberana: acho a ideia realmente importante, mas acho também que muitos países estão meio confusos sobre o que querem dizer com isso.Muitos governos, hoje, pensam a IA soberana pela pergunta: a gente consegue construir o nosso próprio ChatGPT? O nosso próprio grande modelo de linguagem, o nosso sistema de IA generativa? Estão olhando só pro modelo que o Vale do Silício já definiu e tentando descobrir como recriar aquilo.E o que eu digo pra quem formula políticas é: defina pra que a IA serve no seu país, no seu contexto. Quais são, no fim das contas, os objetivos do seu país? Os objetivos do seu povo? E também os nossos objetivos coletivos, entre países?Porque a gente tem, por exemplo, os Objetivos de Desenvolvimento Sustentável da ONU. Já definimos coletivamente que há coisas que precisamos resolver juntos: superar a crise climática, reduzir a pobreza, melhorar a educação.E, enquanto o Vale do Silício adora dizer que está fazendo tudo isso, na prática não está. Mas a gente poderia — poderia desenvolver, de forma colaborativa, sistemas de IA que realmente avançassem em cada um desses objetivos coletivos que já acordamos.E cada país também devia fazer o exercício: quais objetivos você quer alcançar, e que tipos de sistema de IA você poderia desenhar pra chegar lá — sistemas que talvez não se pareçam em nada com um grande modelo de linguagem. Se os países fizessem isso, acho que descobririam que a maioria dos sistemas de que precisam exigiria muito menos recursos.Ou seja, contextos como o Brasil, a Índia e outros, quando não precisam competir construindo essas infraestruturas de computação gigantescas e gastando centenas de bilhões de dólares, na verdade já têm, localmente, todos os recursos necessários pra desenvolver um sistema de IA soberano.Cris: Quando ouvi falar do seu livro pela primeira vez, uma amiga me disse que você não poupa ninguém — fala mal do Sam Altman, mas também do Dario Amodei. E as pessoas costumam escolher um lado. Eu sou time Claude, odeio o ChatGPT, essas coisas. Então cheguei no livro pensando: ah, é mais um livro dizendo que a IA é terrível, que a gente não devia usar IA.Mas, conforme fui lendo, e ouvindo outras entrevistas suas, me pareceu que o seu problema é justamente o que você acabou de descrever: a forma como essa tecnologia é feita. E, em especial, a palavra escala — a ideia de que a solução é a escala. O que você quer dizer com isso?Karen Hao: Eu costumo usar a analogia de que “IA” é como a palavra “transporte”: na verdade se refere a uma coleção de tecnologias que vão da bicicleta ao foguete. São tipos bem, bem diferentes de tecnologia, que exigem insumos diferentes pra se desenvolver e depois têm impactos diferentes na sociedade.E você está certo: sou especificamente crítica ao que chamo de “foguetes da IA”, os sistemas que os impérios da IA estão desenvolvendo, aqueles que exigem uma quantidade enorme de exploração de mão de obra e extração ambiental.E sou bem otimista com o que chamo de “bicicletas da IA”: sistemas especializados, eficientes, com bom custo-benefício, governáveis pelas pessoas, cujo desenvolvimento pode ser participativo. Países como o Brasil, o Chile, a Índia, qualquer contexto, têm recursos pra desenvolver e se autodefinir, em vez de simplesmente herdar um sistema criado pelos dois únicos centros do mundo capazes de gastar uma quantidade extraordinária de capital: o Vale do Silício e o ecossistema tecnológico chinês.E o motivo pelo qual eu acho tão corrosivo o que os impérios da IA estão desenvolvendo é exatamente o que você disse: a forma como eles fazem isso, por um mecanismo de força bruta pra avançar as capacidades da IA em escala. Eles vão simplesmente empurrando cada vez mais dados de treinamento nesses modelos, e isso exige corroer a privacidade das pessoas, tomar a propriedade intelectual delas e, ainda por cima, baixa a qualidade dos dados que entram nos modelos — o que leva aos danos de exploração de mão de obra, porque aí você tem que dar conta da moderação de conteúdo.E aí você tem pessoas psicologicamente traumatizadas por serem expostas a todo aquele conteúdo horrível que se tenta “lavar” através desses modelos.E aí vem o problema dessas infraestruturas de computação enormes, com impactos ambientais que aumentam a conta de luz das comunidades que as hospedam e agravam a crise de custo de vida. Elas precisam ser alimentadas por fontes fósseis, que jogam mais carbono na atmosfera e mais poluição no ar dessas comunidades.Então todos os problemas que eu identifico, no que têm de corrosivo, derivam inteiramente da abordagem deles pro desenvolvimento de IA. Por que não descartar a abordagem, em vez de descartar a tecnologia? Redefinir e redesenhar de que tipos de sistema de IA a gente precisa de verdade, com uma cadeia de suprimentos fundamentalmente diferente. E isso não é exclusivo da IA.A gente já viu muitas outras indústrias que começaram com uma cadeia de suprimentos bem ruim. A moda, por exemplo: muita degradação ambiental, muita exploração de mão de obra.Com muita organização, protesto, ação de consumidores, regulação governamental e cooperação entre governos, a gente conseguiu criar mercados novos pra moda sustentável e ética, cadeias de suprimentos novas e inovações pra fazer roupa mais saudável pras pessoas e pro planeta.E é basicamente isso que eu defendo: transformar a indústria de IA do mesmo jeito que transformamos a moda, e as cadeias de suprimento de alimentos. Assim a gente fica com os benefícios da tecnologia, ajuda ela a avançar os objetivos que importam pra gente, sem jogar uma fração enorme da população mundial numa condição atrasada e numa qualidade de vida pior.Cris: O Brasil está agora, no Congresso, discutindo a escala de seis dias por semana. A regra atual é: você trabalha seis dias e descansa um. E muitas empresas, o comércio principalmente, dizem “vamos fechar as portas”, e os trabalhadores respondem “isso é problema seu, não meu”. É mais ou menos a mesma narrativa dessas empresas de IA: se eu não usar a sua água, a Idade das Trevas está chegando.Falando em Idade das Trevas, e falando em bicicleta: a sua analogia me lembrou uma coisa. Eu gosto de jogo de zumbi, de mundo aberto, e em nenhum deles tem bicicleta. Num desses jogos, instalei um plugin que deixava andar de bicicleta — você acha uma e sai pedalando. E aí entendi por que não tem bicicleta: desbalanceia tudo. Parte da graça do jogo é você precisar achar um carro, e daí pneu, gasolina, comida pra carregar. De bicicleta, você vai a qualquer lugar.E eu pensei: ah, é. Meio que estraguei o jogo pra mim, porque agora tenho uma bicicleta, é incrível. Enfim, em termos práticos: no fim do ano passado, uns meses atrás, a revista Wired publicou um artigo pedindo pra jornalistas de tecnologia contarem como usam IA no trabalho. E cada um usava de um jeito. Você usa IA no seu trabalho? Como?Karen Hao: Eu não uso nenhum sistema de IA generativa no trabalho — nem ChatGPT, nem Gemini, nem Claude. Por três motivos. O primeiro é uma postura ética, depois de tanto investigar essas empresas. O segundo é privacidade de dados: eu investigo essas empresas.Não quero que elas conheçam todo o meu raciocínio enquanto eu apuro o livro, literalmente investigando elas. E o terceiro é que, no meu caso específico, a força do meu trabalho está na capacidade de construir relações fortes com as fontes, pela empatia, e de contar histórias envolventes, pela narrativa. E os grandes modelos de linguagem simplesmente não são a ferramenta certa pra nenhuma das duas coisas.Não vão melhorar a minha empatia nem a minha escrita. Então eu não perco nada com essa postura ética: simplesmente corto essas ferramentas e sigo fazendo o meu trabalho muito bem. Pra outros jornalistas pode ser diferente, e pra quem está em outras áreas o cálculo pode ser outro.Mas eu incentivo as pessoas a pensarem primeiro: quais são as suas forças no trabalho? Quais são os seus objetivos? E aí ir de trás pra frente pra descobrir se a IA é a ferramenta certa, qual tipo de IA é a ferramenta certa, e qual fornecedor você quer de fato usar, apoiar, votar com os pés. Agora, eu uso, sim, IA preditiva.Aquelas ferramentas de IA especializadas, as “bicicletas da IA”, digamos. No livro, tinha um detalhe que eu queria muito ilustrar: como a OpenAI deu um salto quando passou de organização sem fins lucrativos a um empreendimento bancado pela Microsoft. Percebi que as cadeiras do escritório ficaram bem mais caras. Então fotografei as cadeiras de um escritório e as do outro.E joguei tudo na busca reversa de imagens do Google, que é um sistema de IA especializado — não é baseado em grandes modelos de linguagem, não é IA generativa. Assim descobri quanto essas cadeiras costumam custar. No primeiro escritório, cerca de 2 mil dólares por cadeira. No segundo, eram cadeiras de um designer brasileiro famoso, uns 10 mil dólares cada.Coloquei esse detalhe no livro pra ilustrar o tipo de riqueza e de concentração de recursos de que a gente está falando. Esses são alguns dos jeitos como eu uso IA, ainda que de forma bem limitada, sempre pontual, quando acho que vai ajudar. E, claro, uso ferramentas de transcrição por IA — outra IA especializada — em todas as minhas entrevistas.Cris: Essa foi uma das partes em que a minha cabeça explodiu, eu nunca tinha percebido: a OpenAI criou o Whisper. Deixa eu dizer de outro jeito, do meu ponto de vista. A OpenAI liberou abertamente essa ferramenta incrível de transcrição, o Whisper, em que eu jogo o áudio e ela me devolve as palavras que as pessoas disseram. E eu pensei: ah, que generoso da parte deles.Mas o motivo real de terem criado a ferramenta foi pegar todos os vídeos do YouTube, transcrever e alimentar a máquina. E aí é: ah, claro. Enfim, falando de ferramentas e de otimismo — a gente está chegando ao fim da conversa. Eu tenho uma regra desde o episódio dois deste programa, há oito anos: de novo, como eu disse do seu livro, não pode ser só uma lista de reclamações e coisa ruim. E a gente tem se saído bem até aqui.Você falou de caminhos e de bicicletas, mas eu quero ser mais específico. Se isso aqui fosse uma reunião de negócios: qual é o plano de ação, quais são os próximos passos? Só que uma das coisas que eu repito bastante, na vida e neste programa, é que problema sistêmico não se resolve com ação individual. Se eu tomar banhos mais curtos, isso nunca vai salvar o planeta do aquecimento global.E muitos amigos meus simplesmente: não quero falar de IA, não quero usar IA. Voltando aos videogames: leram que tal jogo usa IA e pronto, não vão jogar. E a minha primeira pergunta pra você é: como a gente ocupa esses espaços da IA generativa — ChatGPT, Gemini e por aí vai? Porque o que a gente viu com as redes sociais foi: ah, o Facebook é do mal, vou sair do Facebook. Ah, vou sair do Twitter.E, na esperança de quê, sei lá, talvez alguém diga: ah, sinto falta do Cris, cadê ele? Ah, está no Bluesky. Mas isso deixa o espaço aberto pra os radicais entrarem e postarem o que quiserem, sem ninguém contrapor ou tornar aquilo um lugar melhor. Então como a gente ocupa o espaço da IA — seja qual for a definição de “espaço da IA” que você preferir — com todos esses problemas que a gente vem discutindo?Karen Hao: Acho que tem duas categorias de ação pra gente pensar. Uma é desmantelar o império. A outra é investir e construir novos tipos de sistema de IA, que se tornem alternativas às tecnologias do império. Quando eu digo desmantelar o império, não estou dizendo que quero que a OpenAI, o Google, a Anthropic, seja quem for, simplesmente deixem de existir.É que eu não quero que elas sejam imperiais. Não quero que fiquem extraindo uma quantidade extraordinária de valor sem redistribuir nada em troca. Se elas voltassem a ser negócios que praticam uma troca justa de valor com o mundo, eu ficaria perfeitamente feliz com qualquer tecnologia que estivessem desenvolvendo.E a forma de desmantelar o império, acho, se resume a muita organização de base, que vai pressionar os governos a regular e responsabilizar essa indústria. No último ano, a gente viu uma quantidade incrível dessa organização de base florescendo pelo mundo.Recentemente, lancei com um grupo de jornalistas, pesquisadores de IA e acadêmicos críticos um projeto chamado AI Resist List, que busca documentar parte dessa organização de base pelo mundo. A gente encontrou cerca de 30 exemplos, de todas as regiões, de ações individuais, institucionais e movidas pela comunidade.Tinha ação artística, ação política. E isso mostra bem o seu ponto: não dá pra contar só com a ação individual, mas o indivíduo pode, sim, ter impacto. Até uma ação pequena pode gerar um grande efeito cascata. Claro que se juntar com os vizinhos pra protestar contra o data center é ainda mais eficaz. Se juntar dentro da sua escola ou universidade pra protestar contra a parceria dela com uma empresa de IA também é mais eficaz.Se juntar com os colegas de trabalho de um setor pra barrar a adoção de uma IA que corrói os direitos trabalhistas é mais um jeito eficaz. A gente tem um monte desses exemplos. Um dos meus favoritos é o de uma comunidade sobre a qual escrevi no livro, Quilicura, no Chile, na periferia de Santiago. É uma comunidade da classe trabalhadora, bem pobre, que vem sendo alvo incessante da expansão de data centers.E por isso protestaram de forma bem aguerrida contra essa expansão, porque não acharam bom negócio hospedar essas instalações sem tirar nenhum benefício, enquanto elas consomem uma parte significativa dos recursos naturais da região.E, logo depois que escrevi sobre eles, foram além na resistência e criaram uma plataforma chamada Quili.ai. É um site em que você entra e que parece um chatbot, parece o ChatGPT: tem uma interface de chat pra você digitar. Só que, quando você faz uma pergunta, em vez de um modelo de IA responder, a mensagem é encaminhada pra alguém que mora em Quilicura, no Chile. Aí, se você pede “quero a imagem de um cachorro”, aquilo vai pro artista local deles, o Benji. Ele pega um pedaço de papel, desenha um cachorro, tira uma foto e te manda de volta.Eles fizeram isso essencialmente como um projeto de arte performática, pra fazer as pessoas pensarem duas vezes antes de usar IA generativa pra bobagem. A mensagem era: ei, quando você fica brincando com essas ferramentas em pedido besta, isso afeta comunidades como a nossa, drena os recursos de que a gente precisa pra viver bem.E também queriam levar as pessoas a pensar: por que não perguntar pra alguém da sua própria comunidade aquela receita que você procurava, ou pedir aquela imagem? Porque aí você reconstrói as conexões que estão tão em falta na sociedade — a falta delas é o que nos deixa mais vulneráveis a esse tipo de colonização do império.Eles deixaram o projeto aberto por 24 horas, e qualquer pessoa no mundo podia mandar um pedido. Receberam uma quantidade extraordinária deles. Viralizou de vez. E essa cidadezinha conseguiu uma virada enorme de narrativa sobre a suposta inevitabilidade e necessidade dessa tecnologia, sobre tudo o que o Vale do Silício diz — que, se você não usar, vai ficar pra trás de quem usa.E esse é só um exemplo, entre muitos, de como pessoas comuns, não importa a sua posição na sociedade, podem ter impacto real no debate, na consciência pública e até na regulação. A gente está vendo isso agora com os protestos contra data centers. Nos EUA, em 2025, cerca de 150 bilhões de dólares em projetos de data center foram travados.Isso virou uma das questões políticas mais quentes nos EUA para as próximas eleições de meio de mandato. Tem gente eleita sendo literalmente tirada do cargo por ter aprovado data centers, contrariando a vontade do povo. E isso já está tendo efeito real sobre as empresas e sobre a trajetória do desenvolvimento de IA.A OpenAI teve que encerrar recentemente a sua ferramenta de geração de vídeo, o Sora. Quando lançaram, apresentaram como o segundo produto mais importante desde o ChatGPT. O que aconteceu entre o lançamento e o fim? Uma reportagem do Wall Street Journal apontou três motivos, todos moldados por ação de base. Um: um gargalo enorme de capacidade de computação.Muitos dos data centers travados ou parados eram da OpenAI. Dois: um cenário financeiro bem mais incerto. A OpenAI está se preparando pro IPO, o que significa ficar mais exposta a Wall Street — e Wall Street está cada vez mais nervoso com a capacidade dessas empresas de cumprir o que prometem.E aí a OpenAI teve que reforçar alguns projetos paralelos pra fazer o balanço parecer um pouco melhor aos olhos de Wall Street. E, terceiro: os consumidores simplesmente não estavam usando o produto — o que também é ação coletiva de consumidores. Então, por todo esse tipo de resistência, de várias formas, de baixo pra cima, as pessoas estão de fato tendo impacto real na indústria e responsabilizando ela.Essa é a primeira categoria de ação. A segunda é: ok, que tecnologias de IA a gente usaria como alternativa? E aí a gente precisa investir mais nelas. Muitas vezes, quando converso sobre o livro, a pessoa diz: ok, me convenci de que não quero usar ChatGPT, não quero usar Claude — mas então uso o quê no lugar?E o problema é que eu não tenho muitas respostas pra essa lista de alternativas. Tem umas poucas aqui e ali, uma plataforma, uma empresa.Cris: Dá pra rodar o modelo no seu próprio computador, como o Cory Doctorow faz, mas aí é limitado e…Karen Hao: Exatamente, exige mais habilidade técnica. Mas, pra quem consegue instalar modelos de código aberto no próprio computador, eu incentivo 100%. Só que a gente também precisa de mais gente desenvolvendo interfaces bem fáceis pra esses modelos de código aberto, pra que qualquer pessoa consiga usar.A gente também precisa de mais gente desenvolvendo “bicicletas da IA”, de investidores e governos investindo mais nesse tipo de solução, e de talento — pesquisadores de IA, desenvolvedores e outras pessoas dispostas a sacrificar um pouco e abrir mão dos pacotes de remuneração enormes.Cris: Eu estava começando a achar que agora as empresas precisam ter menos lucro — e isso nunca vai acontecer.Karen Hao: Não, não é a empresa ter menos lucro. É o trabalhador topar abrir mão do pacote de milhões de dólares pra levar o talento dele pra outro lugar. Mais fácil, bem mais fácil. Eu converso com muito pesquisador de IA cansado da abordagem da indústria, porque ela é completamente sem criatividade intelectual.Eu conversei com pesquisadores que não passaram seis anos num doutorado em IA só pra ficar empurrando mais dados na máquina — pra eles, é o trabalho mais chato do mundo. E depois automatizar a programação, que era justamente o que eles gostavam de fazer. Converso com tanta gente que já não acha graça nenhuma nisso. Estão meio presos por “algemas de ouro”.E estão tentando descobrir, dentro de si, que carreira alternativa poderiam ter. Eu costumo incentivar esses pesquisadores a gastar o talento deles construindo um tipo diferente de empresa, que trabalhe com “bicicletas da IA”. E a gente já começa a ver cada vez mais desse talento indo por aí.E a gente precisa que todas as facetas da sociedade invistam num ecossistema muito mais robusto e rico de tecnologias de IA, capaz de substituir as que hoje dominam. Eu ainda tenho as cicatrizes das minhas próprias “algemas de ouro”, mas concordo plenamente.Cris: E as redes sociais são o exemplo — veja o que aconteceu com elas. Tem aquela frase famosa: as mentes mais brilhantes da minha geração passam o tempo fazendo as pessoas clicarem em anúncios. E ainda dizem: ah, isso pode ser o futuro. Pois é.Você contou a história do Quili.ai e isso me lembrou um dos primeiros criadores de conteúdo do Brasil, o Cid Não Salvo. Uns 10, 15 anos atrás, ele tuitou o seguinte: “Gente, eu disse pro meu pai que, sempre que ele precisar pesquisar alguma coisa na internet, é pra ir no Twitter.com e digitar a pergunta na caixa”. E olha que ele tinha milhões de seguidores.E, por uns bons dias, quase um mês, você entrava no Twitter do pai dele e via perguntas tipo “onde eu compro pizza?”. Era engraçadíssimo. No fim, ele contou pro pai — ou talvez não. Mas eu adoro essa ideia. Antes de a gente terminar: você já deve ter respondido isso mil vezes, mas vai continuar cobrindo IA? O que está na sua cabeça, o que vem por aí? Turnê mundial? O que vem pela frente?Karen Hao: Com certeza estou pensando em como continuar responsabilizando essas empresas. Estou envolvida em várias colaborações, com gente incrível, em diferentes projetos ligados a isso. O AI Resist List foi um deles. Também co-criei um programa chamado AI Spotlight Series, com o Pulitzer Center, uma organização jornalística sem fins lucrativos que financia jornalismo investigativo pelo mundo.É um programa que treina jornalistas do mundo inteiro a cobrir IA por uma lente de responsabilização. Até agora, já treinamos mais de 3 mil. E eu sigo pensando em como construir mais capacidade dentro do jornalismo, da sociedade civil, de outros contextos, pra mobilizar ainda mais essa organização de base — pra conter de verdade os impérios da IA e ajudar a desmantelá-los.Cris: Adorei o seu exemplo da moda. É possível, já foi feito. Ou até a indústria automotiva. Ou o grande exemplo que a gente não mencionou, e que o pessoal da OpenAI vive citando: o Projeto Manhattan, a energia nuclear.O mundo não acabou. Quando eu era criança lendo Asimov, achava que ia tudo acabar num fogo nuclear. Enfim — alguma última palavra, alguma mensagem, algum palpite pros jogos do Brasil na Copa, alguma coisa que você queira dizer antes da gente encerrar?Karen Hao: No fim das contas, o que eu espero que fique desta conversa e do livro é o seguinte: neste momento, o Vale do Silício está concebendo a IA como um projeto político. E a característica central desse projeto é tirar a autonomia de todo mundo — a autonomia de moldar de verdade o próprio futuro e o nosso futuro coletivo. Mas, no instante em que você reconhece que já tem uma autonomia significativa pra resistir, o império começa a desmoronar.Então espero que as pessoas encontrem a própria voz, a afirmem, conquistem o seu lugar à mesa e se conectem com os vizinhos, com a comunidade, com os colegas de trabalho, pra criar mais movimentos juntos.Cris: Que ótimo. Karen Hao, o seu livro é O Império da IA: Por dentro da corrida irresponsável pela dominação total. Obrigado por vir ao Brasil conversar com a gente. Foi um prazer.Karen Hao: Muito obrigada.Uma das primeiras perguntas que anotei quando comecei a pensar nessa conversa foi justamente a do final, a da ocupação de espaços. Porque, como eu disse, quando as redes sociais chegaram para ficar, muita gente falou “ah, não vou usar, é do mal” — e aí as pessoas ruins, vamos chamar assim, acabam ocupando esse espaço e falando o que bem entendem. A gente precisa aprender essa lição agora, no mundo da IA.Fora que vejo muita gente falando de IA sem nunca ter usado — ou que usou, sei lá, dois anos atrás, acha que continua tudo igual e já diz que não quer chegar perto.E por quê? Porque essa abordagem de ocupar espaços é o que eu e a Ana Freitas buscamos fazer no IA em Curso, nossa comunidade de letramento contínuo em IA. Foi, aliás, uma conversa que tive com a Karen antes da entrevista: ao mesmo tempo que a gente fala do impacto da IA no mundo, também precisa focar no que é prático, no que dá para fazer hoje com IA, sem vender sonho nem desastre. A analogia que usei foi a de que é que nem quando a gente fazia curso de Word e Excel — é o que eu faço agora que vai facilitar minha vida, me fazer ganhar tempo, botar a IA para me ajudar. Quem viu minha conversa com a Ana aqui no Boa Noite Internet, no fim de 2025, sabe do que estou falando. Se não viu, volta lá e confere.Desde que a gente lançou este episódio, o IA em Curso já passou de 400 pessoas. Tem muita gente colocando projetos pessoais incríveis na rua, tirando do papel aquela ideia que rondava a cabeça há um tempão. E a comunidade tem mentoria ao vivo, aula gravada, newsletter, banco de agentes, grupo de Telegram… que mais? O que não falta é jeito de passar para você o conhecimento sobre IA de que você precisa hoje, agora. Quero te dar a bússola para navegar nesse universo.Se esse é o tipo de abordagem que você quer ter com a IA, passa lá no iaemcurso.com.br e usa o cupom BNI2026 para ganhar 20% de desconto no plano anual. Mas corre, porque daqui a duas semanas vou apagar esse cupom — não é todo dia que a gente dá um desconto desses.É isso. Boa Noite Internet, temporada 2026 começando — como todo ano, com mudança, ideia, projeto. Ou, como diz minha citação preferida de todos os tempos: “vivemos uma fase de transição, como sempre”. Espero ver você por aqui e lá no IA em Curso.Obrigado pelo seu tempo e pela sua atenção. Até o próximo episódio. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit boanoiteinternet.com.br/subscribe

一個以人、以信任為核心的傳統服務業，如何走出一條數據驅動的轉型路徑？ 談起AI轉型，多數人直覺聯想到科技業或製造業，房仲業幾乎不在名單之內。但信義房屋早在2021年生成式AI尚未爆發前，就已著手建立數據中台，近年陸續推出「AI智能配案」、「不動產廣告AI審查」等系統，2025年更拿下IT Matters Awards「AI Selected」創新研發獎與最佳IT雇主獎。 本集未來城市邀請信義房屋AI數據應用發展部協理張玄江，分享房仲業如何把散落在紙本、Excel與多套系統裡的資料，重新整理成AI可以運算的資產，並且用雙盲測試證明演算法的價值。 【聽完這集你會知道】 03:11｜數據中台佈局契機：信義房屋 2021 年啟動轉型辦公室，先於生成式 AI 浪潮兩年 09:18｜破解轉型兩難：信義房屋同步推進基礎建設與客戶服務，逐步試錯降低轉型風險 13:48｜智能配案驗證法：AI 演算法已能匹敵最強業務，同時揭露跨區推薦盲點 20:53｜廣告審查 AI 實測：語意與多模態辨識準確率達 98%，效率提升五倍 23:48｜人才雇主策略：技能分級、跨部門 AI 種子小隊，讓非 IT 人才也能用數據 【本集金句】 「我們希望透過 AI 去放大效率跟洞察，讓人去深化信任跟判斷。」 主持人： 未來城市頻道總監 陳芳毓 來賓：信義房屋AI數據應用發展部協理 張玄江 製作團隊：詹湘淇、錢玉紘、陳繹方、陳瑞偉 ＊【2026 台灣 AI 影響力大獎 IT Matters Awards】盛大徵件中：https://cwnewbusiness.pse.is/95gbmh ＊百工百業用AI系列 https://futurecity.cw.com.tw/special/ai-work-podcast ＊搜尋「未來城市FutureCity@天下」，追蹤更多城市議題：https://futurecity.cw.com.tw/ ＊意見信箱：bill@cw.com.tw -- Hosting provided by SoundOn

During the Spanish Civil War, the fascist dictator Francisco Franco rose to power.Around half a million people fled the fighting, but some chose to return even as the conflict continued.One of them was eight-year-old Felisa Umbon San Vicente. In 1937, her mother brought the family back from France to their village near Bilbao, in Spain's northern Basque Country, close to the French border.Felisa tells Ivana Davidovic about starting school and growing up during the war, as her region fell to Franco's forces.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Felisa with her mother. Credit: Felisa Umbon San Vicente)

This episode of the podcast delves into a pressing issue in Colorado, where the state's largest energy utility, Excel, is seeking a massive rate increase to fund its clean energy plan. The plan, which aims to make Colorado a leader in renewable energy, has been touted as a crucial step towards a net-zero future. However, critics argue that the plan's focus on electrification and grid hardening is misguided, and that the costs will be borne by ratepayers.The discussion touches on the financial implications of the plan, with the speaker highlighting the potential for rate increases to double or even triple in the coming years. The speaker also explores the social cost of blackouts, citing examples of businesses and communities that have suffered significant losses due to power outages. Meanwhile, the speaker argues that the state's focus on electrification is misguided, and that other forms of energy, such as nuclear power, could provide a more reliable and affordable solution.The episode also touches on the topic of the WNBA and its handling of Caitlin Clark, a basketball player who has been at the center of controversy. Olympian Eli Bremmer joins the conversation to share his perspective on the issue, arguing that the WNBA's focus on social justice and politics has led to a decline in the league's focus on its core mission of promoting women's sports.In this episode, the speaker also discusses the Democratic Party's stance on Israel, highlighting the comments of Senator John Fetterman, who has stated that he would leave the party if it becomes anti-Israel. The conversation raises important questions about the role of politics in sports and the importance of standing up for what one believes in.See omnystudio.com/listener for privacy information.

In 1985, one the world's most recognisable fashion accessories was first launched – the Birkin handbag.Its origins have since become legend. The actress and model Jane Birkin said she was on a flight to London when her bag and contents spilt over the floor.The passenger sitting next to her remarked that she needed a bigger bag, and offered to make it for her. His name was Jean-Louis Dumas, then chief executive of the leather goods company, Hermès.The design was sketched on the plane's sickbag, and the resulting leather holdall was christened the Birkin, after its inspiration.Today, the price tag ranges from a few thousand dollars to more than $200,000 for limited design versions, and it's often seen on the arms of celebrities and socialites.Jane Wilkinson looks back at its history, using BBC archive.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: The original Birkin bag made from black leather, has two short handles and a long handle and a leather flap across the top, with a leather strap detail and a gold clasp. Credit: Edward Berthelot/Getty Images)

Introduction What happens when the lawyer who spent his nights cleaning up coverage disputes decides to build the software himself? Most insurtech is built by engineers learning insurance, and Dan Schuleman came at it the other way. He practiced insurance coverage law, watched a late claim letter turn into a bad-faith fight, and built Qumis so the people reading policies actually understand what the words mean. Guest Bio Dan Schuleman is co-founder and CEO of Qumis, the Chicago company building attorney-trained AI that reads and interprets insurance policies for brokers, underwriters, and claims teams. He spent his early career as an insurance coverage attorney at Am Law 200 firms, advising carriers and policyholders on high-stakes commercial claims, then became an early legal hire and Associate General Counsel at Kin Insurance, now a unicorn. Qumis raised an oversubscribed $4.3 million seed in February 2026, after a $2.2 million pre-seed, and its technology is used by five of the fifteen largest U.S. brokers, including NFP and Brown & Brown. Key Topics -Claims adjusters are practicing law. An adjuster without a law degree still reads a legal contract every day and forms an opinion on how a court would interpret it, which is the overlap Qumis is built around. -The coverage letter that went out late. Dan traces Qumis back to a hotel roof claim that turned into a bad-faith dispute because the letter did not go out in time. -The bench of digital experts. Ask Qumis a question and a lead agent assembles specialist agents that each examine the policy and then synthesize one cited answer, the way a well-resourced firm puts a team on a file. -A 97% lawyer-agreement rate, with citations. Every output traces back to the source text and the reasoning behind it, so an adjuster can agree or disagree instead of trusting a black box. -Where AI stops and a lawyer starts. Dan calls coverage interpretation one of the hardest things to automate, and he does not see humans leaving the process any time soon. -Insurance's spreadsheet moment. He compares the shift to accountants and Excel, where the tabulating goes away and the judgment and creative work expand. -Commodifying routine coverage counsel. Routine coverage questions that get outsourced to outside counsel are the part Dan expects AI to absorb first, changing when and how firms engage lawyers. Notable Quotes "AI isn't going to replace humans, but humans using AI will." "The product is a promise, and then the promise is expressed in a whole bunch of legalese." "I saw it play out in the claims context, where a comma could mean a million bucks." "I have 500 pages of PDF on my desk, and I need to spend the next eight hours figuring out what the issues are and getting the letter out. We can turn that down into half an hour, with likely a more accurate output." Resources Guest: Qumis: https://www.qumis.ai Dan Schuleman on LinkedIn: https://www.linkedin.com/in/danielschuleman/ Host & Organization: Joshua R. Hollander on LinkedIn: https://www.linkedin.com/in/joshuarhollander/ Horton International (USA): https://www.horton-usa.com/ Insurtech Leadership Podcast (LinkedIn Showcase): https://www.linkedin.com/showcase/insurtech-leadership-show Subscribe & Review If this episode was useful, subscribe and leave a review. The Insurtech Leadership Podcast is on YouTube, Podbean, Apple Podcasts, and Spotify.

On 15 July, over 300 people were killed and more than 2,100 injured when rogue soldiers commandeered warplanes, tanks and helicopters in a failed coup attempt against President Tayyip Erdogan. Some of the fiercest fighting took place on the first bridge linking Europe to Asia. It was there civilians and police confronted soldiers in deadly clashes. The waterfront neighbourhood of Çengelköy is directly below the Bosphorus bridge. As soldiers began passing through it, the neighbourhood Mukhtar, the elected head, rallied residents to set up barricades. Emily Wither speaks to that head, Can Cumhurcu, who stood his ground with his neighbours outside the local police station until he was shot by a soldier. Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: People take over a tank near the Fatih Sultan Mehmet bridge. Credit: Gurcan Ozturk/ Stringer via Getty Images)

Meta ve Google reklam panellerinde "Kampanya Oluştur" yeşil butonuna basmayı herkes biliyor. Hangi tuşun ne işe yaradığını, Advantage+ veya PMax kampanyalarının nasıl kurgulanacağını YouTube'daki on dakikalık ücretsiz bir videoyla bile öğrenebilirsiniz. Panel kullanmak kolaydır; çünkü panel günün sonunda kodlanmış basit bir arayüzdür. Peki, sektördeki e-ticaret markalarının %90'ı neden hala reklam bütçesini çöpe atıyor, neden ROAS ekranlarında sahte illüzyonlarla avunup ay sonunda banka hesabında gerçek bir kârlılık göremiyor?Bu sorunun cevabını, geçtiğimiz günlerde yayınları sıkı takip eden değerli dinleyicimiz Mustafa Altay'dan gelen çok samimi bir itirafla masaya yatırıyoruz. Mustafa'nın sorduğu, aslında bugün milyonlarca lira bütçe yöneten ajansların ve pazarlama direktörlerinin en büyük kanayan yarası: "Abi her şeyi anladım, psikolojiyi ve reklamı anladım ama şu müşteriyi araştırması kısmını, pazardaki müşteriyi anlayıp ona göre reklam çıkma matematiğini bir türlü oturtamıyorum."Filtresiz Dijital'in 97. bölümünde, reklam panelinden önceki o konuşulmayan "Karanlık Bölgeye" dalıyoruz. Altınızdaki araba bir Ferrari bile olsa, navigasyona yanlış adresi girerseniz sadece yanlış yere çok daha hızlı gidersiniz. Bu Bölümde Hangi Ödünsüz Gerçekleri Deşifre Ediyoruz?• Demografik Çöplük ve "Gece 3 Sancısı": Ajansların Excel tablolarına yazdığı "25-45 yaş arası, büyükşehirde yaşayan, yoga yapan kadınlar" gibi içi boş personaların neden birer çöplük olduğunu yüzleşerek konuşuyoruz. İnsanlar yaşlarına veya oturdukları semte göre değil, amigdalalarını tetikleyen acılara göre satın alır. Müşterinizin gece saat 3'te yatağında tavana bakarken hangi problemi yüzünden uyuyamadığını (Gece 3 Sancısı) bulmanın ve ona ürünün özelliğini değil, acısız bir akşamı satmanın formülünü veriyorum.• Dijital İstihbarat ve Rakip Yorumlarını Hacklemek (Review Mining): Masa başında kahve içerek "bence bizim müşteri şunu sever" deme devri bitti. Pazarın lideri olan en dişli 3 rakibinizin Amazon, Trendyol ve Hepsiburada'daki 1 ve 2 yıldızlı yorumlarını nasıl birer istihbarat madenine dönüştüreceğinizi anlatıyorum. Rakiplerinizin lojistik, kumaş veya müşteri hizmetleri zaaflarını alıp, kendi reklam kampanyalarınızda müşteriyi ensesinden yakalayan o yenilmez kancalara (Hook) nasıl çevireceğinizi adım adım gösteriyorum.• Sosyal Dinleme (Social Listening) ile "BS Detector"ü Kapatmak: Anket verilerinin neden her zaman yalan söylediğini, rasyonel ön lob ile duygusal satın alma beyni arasındaki farkı inceliyoruz. Ekşi Sözlük, Reddit ve Kadınlar Kulübü gibi insanların maskelerini çıkardığı platformlara sızarak kitlenin sokak jargonunu nasıl kopyalayacağınızı anlatıyorum. Sizin o plaza dilinizi değil, kendi kelimelerini reklam metninde gören müşterinin zihnindeki "yalan savar" (BS Detector) kalkanını nasıl indireceğinizi deşifre ediyoruz.• Yapay Zekayı Davranışsal Ekonomi Uzmanına Dönüştürmek: ChatGPT veya Claude'u sadece "Instagram metni yaz" diyerek hesap makinesi gibi kullanmayı bırakın. Yüzlerce filtresiz müşteri şikayetini yapay zekaya besleyerek; kitlenin en derin 3 korkusunu, duygusal satın alma tetikleyicilerini ve savunmaya geçtiği kelimeleri saniyeler içinde çıkaran o 2026 model özel "Nöropazarlama Analisti" komutumu (prompt) sizlerle paylaşıyorum.Siz de bu yayını dinledikten sonra e-ticaret sitenizi ve reklam kurgularınızı birer deneme yanılma tahtası olmaktan çıkarıp, salt bir insan psikolojisi ve veri madenciliği matematiğine dönüştürmek istiyorsanız, masadaki parayı rakiplerinize bırakmamak için şu an bu kanalı hemen takip edin ve bildirimleri açın.Bu işin sadece panel boyutunu değil, tüketici psikolojisini ve yapay zeka ile pazar araştırması mimarisini bir meslek olarak en ince detayına kadar öğrenmek istiyorsanız Joy Akademi eğitimlerimize katılın. "Faruk, benim operasyonum var, bu derin psikolojik kurguyu ve reklam matematiğini markam için doğrudan siz kurun ve ciromu büyütün" diyorsanız, joykek.com üzerinden ajansımızla iletişime geçin.

For generations, Inuit communities lived across the Arctic, travelling with the seasons and relying on the land. But in the mid-20th century, Canadian government policies, including relocations, moved many into permanent settlements, reshaping their way of life.In the 1970s, a new generation of Inuit activists launched a movement to reclaim control over their land and push for greater autonomy.In 1999, the newly created Nunavut territory gained its own government.Inuit politician and activist Paul Quassa tells Sam Gruet about the fight to regain control over their land, the long negotiations with the federal government, and the moment he felt the campaign had succeeded.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Cambridge Bay. Credit: Arctic Images via Getty Images)

Welcome to the Kobo ReWriting Life Podcast! Alongside your regularly scheduled Kobo Writing Life podcast episode releases, we will also be featuring some highlights from our backlist. In this episode, we were joined by best-selling romantic suspense author, Susan Stoker, who talked to us all about writing series books and how she grows her series sales by marketing to readers. This is a great episode for anyone looking to boost their series-writing knowledge! Best-selling author Susan Stoker joins us on the podcast this week to discuss how she creates her romance series from creating the initial layout on an Excel spreadsheet to deciding which marketing strategies to use when launching a new series or bringing a new audience to an older one. Susan also talks to us about translating her series for a non-English audience and how she's managed to sustain such a successful writing career. 

Introduction Captive premiums have crossed roughly $79 billion globally, so why are so many captive programs still managed in Excel and email? In this episode, Joshua Hollander talks with Illia Pinchuk, CEO and founder of DICEUS, about where manual workflows leak value in a captive program and what it takes to move a captive manager off spreadsheets. Listeners will hear how feature-based pricing changes the cost math for captives, why data onboarding is the real adoption barrier, and where AI actually helps today.   Guest Bio Illia Pinchuk founded DICEUS in 2011 and has led the company for fourteen years, evolving from professional services for insurers, brokers, MGAs, and TPAs into ready-made products. DICEUS now offers 22 products across business lines, with captive insurance among its strongest segments, anchored by a captive management platform and a captive owner portal. Pinchuk trained as an engineer in mechatronics and robotics and has completed executive coursework through Harvard Business School Online.   Key Topics -A young market with about 7,000 captives - Roughly half of the world's registered captives sit in the US, with Bermuda, Cayman, and a developing UK regime behind it, and business processes remain largely unstandardized. -Why captive managers can't scale on spreadsheets - The consultant headcount a captive manager needs grows roughly in proportion to the captives it onboards, which turns a service business into a people business. -Where value leaks in a manual captive - A/B fund premium allocation, loss runs arriving from 10 to 20 different TPAs in incompatible spreadsheets, investment reconciliation, and end-of-period compliance workbooks. -Feature-based pricing, not module-based - Clients pay only for the specific features they use, which matters in a segment where the entire case for a captive is cost. -The measurable payoff - Clients report the platform saves the work of one to one and a half business analysts or captive consultants, and policy issuance that once consumed a dedicated person compresses to about a week and a half. -Key-person risk in Excel - When the one employee who knows the spreadsheets leaves, the knowledge leaves with them; built-in onboarding and AI guidance get a replacement productive in one to two weeks. -AI needs clean data first - DICEUS runs the full extract, transform, load process itself, cleaning years of unstructured spreadsheet data before the platform's AI features can pay off.   Notable Quotes "They cannot grow without adding new people. So it becomes more people business than just a service business."   "At the end of the month you're getting twenty completely different spreadsheets, and you somehow should make a magic work in order to calculate the loss ratio."   "Our system can save, for a traditional captive manager organization, at least one or one and a half consultants. But in reality, I think it's even more."   "They should pass through the digital onboarding step, just filling in all the details, and it should be automatically enrolled. Like, for example, if you want to open a bank account. That will be a big game changer."   Resources Guest: DICEUS: https://diceus.com/ Illia Pinchuk on LinkedIn: https://www.linkedin.com/in/illiapinchuk/   Host & Organization: Joshua R. Hollander on LinkedIn: https://www.linkedin.com/in/joshuarhollander/ Horton International (USA): https://www.horton-usa.com/ Insurtech Leadership Podcast (LinkedIn Showcase): https://www.linkedin.com/showcase/insurtech-leadership-show   Subscribe & Review If you enjoyed this episode, subscribe on your favorite platform and leave a review. The Insurtech Leadership Podcast is available on YouTube, Podbean, Apple Podcasts, and Spotify.

Want to build financial models that other finance professionals can trust?In this episode of What's New at CFI, Meeyeon sits down with Duncan McKean, CFI's VP of Financial Modeling, to discuss Financial Modeling Guidelines, a practical course designed to help analysts build cleaner, more transparent, and more professional Excel models.Instead of building a model from scratch, this course starts with a messy legacy model and walks you through transforming it into a best-in-class financial model using industry-standard modeling practices. Along the way, you'll learn why model structure matters, how to improve readability and transparency, and the habits that separate experienced financial modelers from everyone else.

In 1967, American lineman JD Thompson was working on overhead power lines in Jacksonville, Florida, when his colleague Randall Champion accidentally grasped a live cable.Seeing his friend dangling high above the ground, JD ran over and climbed the pole to perform mouth-to-mouth resuscitation. At the same time, local photographer Rocco Morabito just happened to be driving past and captured the moment.The image made that evening's edition of the Jacksonville Journal with the caption 'The Kiss of Life' and was soon syndicated around the world.The following year, Morabito was awarded the 1968 Pulitzer Prize for Spot News Photography.JD tells Patrick Kiteley how it felt to be involved in such a dramatic rescue.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: The Kiss of Life. Credit: Rocco Morabito, courtesy of the Florida Times-Union/Jacksonville.com)

Founder/ Data S ience, AI & Economic Consultant at Analytics TX LLC Consulting practice focused on analytics, economic analysis, and executive advisory. • Design consulting frameworks to audit enterprise datasets, resolve data silos, build Python analytics workflows, predictive analysis, and statistical models, translating complex data into decision systems for founders and leadership teams. • Advise organizations on analytics infrastructure, AI tool selection, and pipeline architecture; deliver executive training in statistical reasoning, business analytics, and economic indicators. • Provide statistical and economic expert analysis used in U.S. litigation, including modeling, statistical evaluation of claims, and expert reports. Statistical modeling and damages analyses have contributed to multi-million-dollar settlements and financial exposure reductions in complex litigation matters. (Clients confidential) • Built Post it Save it App, a production SaaS platform that ingests LinkedIn post and profile data via OAuth API and processes it into structured performance analytics dashboards and reports (JSON, Excel, HTML). Deliberately built without AI, delivering accurate, deterministic content analytics at a fraction of the cost of AI-based alternatives or reliance on LLM uncertainties. • Built an end-to-end course creation system for the Professional Certificate in Business Analytics: Data-Informed Decision Making, parsing source materials (PDFs, Word, images) and transforming them into full course content including slides, AI-generated visuals, and voiceover-driven video modules using image generation and ffmpeg pipelines. Follow her on the author page on Amazon where she has published her book:https://www.amazon.com/Invisible-Hand-Visible-Profit-Decisions/dp/B0GY7V14VL Linkedin: https://www.linkedin.com/in/kruti-lehenbauer/ ***********Susanne Mueller / www.susannemueller.biz TEDX Talk, May 2022: Running and Life: 5KM Formula for YOUR Successhttps://www.youtube.com/watch?v=oT_5Er1cLvY Join Substack: https://substack.com/@susannemuellernyc?Enjoy one coaching session for free if you are a yearly subscriber. 800+ weekly blogs / 500+ podcasts / 1 Ironman Triathlon / 5 half ironman races / 26 marathon races / 4 books / 1 Mt. Kilimanjaro / 1 TEDx Talk

EPISODE 738 - Lalitha Ramanathan -  Parenting Unplugged and Kanmani and Co - Five Friends and a Cat Tackle the WorldIn a different lifetime, I worked in Finance, burying myself in MS Excel sheets. One day, I rekindled my passion for writing, and Excel paved way for Word, and my life has never been the same again.Writing is my oxygen, and I write every single day. Over time, I have amassed millions of words, through stories that encapsulate bits of my soul. My favourite topics include parenting, fiction, children's stories, and any place where there is scope to insert a pinch of humour. Now that you are here, wondering what to read?My stories have found a place in some anthologies. Here, you can find the collections in which my works feature, as well as a sneak peek into my upcoming publications.https://lalitharamanathan.com/Support the show___https://livingthenextchapter.com/podcast produced by: https://truemediasolutions.ca/Coffee Refills are always appreciated, refill Dave's cup here, and thanks!https://buymeacoffee.com/truemediaca

A lot of leaders can name their gifts, but still feel stuck when it comes to where those gifts belong. JD sits down with Sammy Moss to trace a ministry story that does not depend on a dramatic “before and after,” but on steady faithfulness, wise preparation, and a willingness to obey the next step even when the long-term plan is unclear. From growing up in South Florida to choosing Cedarville University in Ohio, Sammy shares how God used ordinary discipleship rhythms to build a foundation for church leadership and teaching.The conversation turns practical as Sammy shares her move into a women's ministry lead role at All Church in Cincinnati, her speaking and coaching work through Sammy Moss Ministries, and her slow, consistent process for writing a Gospel of Mark Bible study curriculum using an inductive Bible study approach. JD and Sammy close with leadership takeaways you can apply immediately: delegate with trust, find a great assistant, keep learning your team's gifting, and embrace leadership that grows deep roots over time instead of chasing fast results. Subscribe, share this with a leader in your life, and leave a review so more church planters and ministry teams can find the show.Send us Fan MailWe want to help you find your next steps in ministry.Connect here with EXCEL. 

In this week's episode, we share nine tips and tricks to help indie authors manage their files. Since I now have 174 novels, file management has become important! This coupon code will get you 25% off the ebooks in the Dragonskull series at my Payhip store: JULYSKULL The coupon code is valid through July 27, 2026. So if you need a new ebook this summer, we've got you covered! TRANSCRIPT 00:00:00 Introduction and Writing Updates Hello, everyone. Welcome to Episode 311 of The Pulp Writer Show. My name is Jonathan Moeller. Today is July 10th, 2026. Today we are discussing file management tips for indie authors. Before we get into that, we'll have Coupon of the Week and an update on my current writing, publishing, and audiobook projects. First up, let's do Coupon of the Week. This coupon code will get you 25% off the ebooks in the Dragonskull series at my Payhip store. That coupon code is JULYSKULL. As always, the coupon code and the links to the appropriate pages in my Payhip store will be available in the show notes for this episode. This coupon code is valid through July the 27th, 2026. So if you need a new ebook for this summer, we have got you covered. Now let's have an update on my current writing, publishing, and audiobook projects. As I mentioned last week, Blade of Thieves is now out. You can get it at Amazon, Barnes & Noble, Kobo, Google Play, Apple Books, Smashwords, Bookshop.org, and my own Payhip store. It is selling well and people seem to be enjoying it, so thank you all for that. Now that Blade of Thieves is out, my next main project is Cloak of Frost, which will be the 15th book in the Cloak Mage urban fantasy series. As of this recording, I am 52,000 words into it. I'm thinking the rough draft will be about 100,000 words. So if all goes well, I hope to have the book out in August. My secondary project is Blade of Visions, the sequel to Blade of Thieves, and I am 4,000 words into that. Once Cloak of Frost is finished, Blade of Visions will become my new main project. In audiobook news, recording is done for Dragon-Mage, the sixth book in the Rivah series, and that will be excellently narrated by Leanne Woodward. I just have to proof/listen to that and then we can submit it to QA and then it should be showing up on the audiobook stories in a few weeks. Recording has started on Cloak of Worlds, which will be [recorded by] Hollis McCarthy, and Blade of Thieves, which will be [recorded by] Brad Wills. So look for more news and updates about that in the coming weeks. So that is where I'm at with current writing, publishing, and audiobook projects. 00:02:16 Main Topic of the Week: File Organization for Writers So let's move on to our main topic this week, file organization tips for writers. One of the inspirations for this episode was an episode of the sitcom Community, which is quite funny. In the episode, the college is making a movie based on a legal loophole because they have some archival footage of a suddenly popular actor. One of the characters, Jeff, becomes concerned that people aren't treating the movie as seriously as they would deserve. So he steals the laptop with the movie and sets out to edit it himself. However, Jeff doesn't know anything about editing a movie, so he watches a YouTube tutorial about how to edit videos. The first lesson is "Step 1: How to properly organize your files." Jeff rages that no, he just wants to learn how to edit movies. While realizing that proper file organization is vital in the age of digital video editing, maintaining a good file structure isn't quite as rigid for authors and writers as it would be for video editors. However, even though many people consider file structure to be old-fashioned or pointless in the age of Google Docs and AI, in my years working in IT, I found that people wasted many hours trying to find files unnecessarily. For example, I always flinch a little bit when I see someone whose desktop is just a wall of misplaced icons and thousands of documents stacked upon each other. I used to do tech support for someone who had the most amazing gift for the most unhelpful and un-useful file names, often with misspelled words. He would get very frustrated and angry that he couldn't find anything because he hadn't labeled files properly with good file names. Better file structures and file naming conventions would have saved them all that stress and time. It's not wise to have all your files stacked up on your desktop and hope for the best. As you grow as a writer, files suddenly become much more complicated than one single draft in a word processing file. There needs to be organization for audiobook files, cover art, marketing materials, research, and much more. Blade of Thieves was my 174th book. So if you think about it, that means I have 174 separate book files on my computer. Many of them have audiobooks. They all have cover art. The audiobooks have cover art, to say nothing of the hundreds of short stories I've written and all of that needs to be organized properly so I can find it when I need it to. So today we're going to talk about setting up and organizing file structures for your writing work. First of all, what do I mean by file structures? In traditional computing, files like Word documents and Excel spreadsheets are organized in folders. How you navigate through the folder structure on your computer or server to find the files is called a path. Much like with a real path on a hiking trail, you want the path to find a file in a folder to be as clear from junk and confusion as possible. Good file and folder naming is like setting up signs on that hiking trail to help you find the way. Setting up your folders and files correctly makes them easier to use, find, and share with others. So let's go through some tips on how to properly organize your writing files and save yourself much stress and hassle of trying to find things. #1: Make a plan before you begin. Instead of borrowing someone else's file structure, take some time to think about how you use your writing files every day. Do you have a lot of project files for each book like book research, cover ideas, mood boards, and so on? Do you do most of your writing collaboratively? Think about your working style, the amount of files you have, and what kind of files you have that need organizing. It helps to plan for flexibility and growth in the future as the amount of files you have grows. For example, if someone currently runs only ads on Amazon but wants to add other companies like Facebook or BookBub, it'd be messier to add files from those projects if everything in their advertising folder was all Amazon documents with no sub-folder for Amazon. Making an Amazon sub-folder right away in your advertising folder prevents confusion as you start to add other companies into your advertising strategy. What you design should be realistic and as simple to use as possible. Are you someone who makes grand and complicated plans, but then sees them fall by the wayside after a couple of weeks? Many people are. Good organization is something where it's easy to let the perfect be the enemy of the possible. If you design overly complicated file and folder structures and naming conventions that you can't remember without a 20-page guide, you're not very likely to keep up with it. It's better to make something simple that it's easy to remember. Carve out the time to do this with your full attention instead of trying to do it in bits and pieces on the fly. It may take anywhere from an hour to days, depending on how many writing files you have. At the very least, set up the initial folders in one chunk of time so the organization is in place before you start moving files around. #2: Clean up before you start organizing. Get rid of duplicate and obsolete files before starting to organize other files. It will save time and make the process easier. #3: File structure is supported by good naming. Versions and drafts should be numbered to find the most recent one. Be specific. "Second draft" or "Volume one" without a book title isn't helpful if there are multiple books with that name across multiple folders. If you are using dates, be sure to include day, month, and year because in 10 years, "March ads" is not going to make much sense without the context of a year. Be consistent in how you order month, date, and year in a file because being inconsistent with it could make for mixed up dates. #4: Version control. "Rough draft THIS ONE" is not a good name to indicate that this is the latest draft and never use "final" as part of a draft or project name until it's well and truly done. On both Windows, Mac, and Linux, you get 256 characters for file names and it's a good idea to use them to be as descriptive as possible in your file names. #5: Be consistent. Don't make a folder called "Fix These File Names Later" because guess what? That date won't come. In the meantime, you'll probably get annoyed trying to find one of those files that don't have a correct name. If you're struggling with remembering to use your folder and file names, either make yourself a one-page reminder guide or take it as a sign that you might have made your structure and naming conventions too complicated. Remember that simpler is always better. #6: Document it. As with so many areas of life, proper documentation will help you remember something in the future. Write out how your folders are going to be structured, what style and formatting you will use to name the folders and files, and give yourselves some examples to jog your memory. If you're sharing the files and folders with others, make sure to share documentation with them and go over the system with them. That will save much time later since you won't have to spend so much time explaining to people where to find things in your file structure. #7: Decluttering isn't just for your college t-shirts. Schedule a regular time monthly or quarterly to declutter and fix anything in your file structure that isn't working or isn't consistent or correct. Much like organizing a drawer of shirts, things will only stay in order if you keep up with putting in and taking things out using your system. #8: It should fix, not create problems. Your first attempt at file organization may not work once you've added more files or tried it out for a while. Reflect on what is causing problems, what you would like your system to be able to do, and what you dislike about your current system. Train others who will use it. For example, differences in month/[day]/year naming conventions between countries can lead to incorrect dates if it isn't clear what date style is being used. Abbreviations should be standard to prevent confusion. For example, United States state abbreviations could follow the US Postal Service Conventions instead of writing your own abbreviations. MN would be Minnesota instead of M-I-N-N or M-I-N-N-E-S. (Though this can cause a confusion if you're not accustomed to them since, for example, in the postal codes, people often get Missouri and Minnesota mixed up.) Tip #9: Sharing isn't always caring. You can set up password protection on folders and files you don't want to share with others, especially if you're in a shared storage space. Read-only access is a way to share documents with others without worrying about them changing the files. For example, I have read-only access set for my book files so that someone working on my series bibles can download them without editing or changing the files themselves. So instead of having to make extra folders and files that are safe for someone to use without changing, I just set read-only access to those files [for that user]. Now let's take a look at some pros and cons of some typical structures. I'm going to provide examples of three possible folder structures you could use for writing and give you some of the pros and cons for each. #1: Organizing by date. In this system, the year is the first file and more specific files like quarters and months are sub-folders. This system might work best if you write based on challenges or projects such as National Novel Writing Month where each year is its own project. If you're taking writing courses, organizing by date and then by semester or course also would make sense for many people. For many writers, however, this could be a difficult way to organize because then you have to remember what year each book was written and many books are written across several years or months. If you're sharing the files with others, then you have to give them information on the history of each book project so they know which folder dates to look at, which creates extra work and most likely confusion. Like for example, off the top of my head, I could tell you that Ghost in the Forge is the sixth book in the Ghost series. However, I couldn't remember what year or month it was written in. I think it would be 2012, maybe February of 2012, but I would not be able to confirm that without looking it up, which would mean trying to find the file for Ghost in the Forge if I needed it would be a bit of a challenge. #2: Organizing by book. In this system, each book has its own folder and then other aspects like drafts, marketing materials, research, and covers are subfolders. If you don't have a large volume of books and don't have many writing adjacent activity files like research and advertising and don't share files with others, often this is a pretty straightforward way to organize your writing files. #3: Organizing by project type. In this system, the type of project is the main subfolder and sub-folders such as the books, marketing materials, covers, and series bibles would be in folders instead of being organized by individual books. For example, there would be a folder for marketing images. Instagram would be a sub-folder, and then there would be sub-folders in that folder for specific images and ads or individual books. If you have a lot of marketing images, that can be easier than trying to remember what image was for a certain book. This file organization system is more complex than just organizing by book and could be hard to keep up without some dedication. It might be unnecessarily complex for someone who only has a handful of books and only a small amount of files. As your writing adjacent activities like marketing and social media grow, it can be easier to organize this way than just by individual books. It's also much easier to share folders in a granular way using this method. For example, if you hire an assistant to help with social media posts, you can give them access to the social media marketing folders without having to give them access to the folders that have the book files and drafts in them. Now, what do I do for my own file organization system? Now, my system has partly been thought out and partly developed organically over the 15 years I've been doing this. And I found for me, since I've written so many books and series, that the best organizational principle is to run by series. My rough drafts are not super organized because once I am done with the book, I tend not to look back at the rough draft files. So usually my rough drafts are sitting in individual folders for the series like Frostborn, Dragontiarna, Blades of Ruin, and so forth. I am much more organized in the final drafts. Each individual series has its own folder and within the series, each individual book has its own folder as well. To help with keeping things in order, I usually number the folders. So for example, in Blades of Ruin, the first folder within it would be 01 Blade of Flames, then 02 Blade of Shadows, 03 Blade of Storms, and so forth. Within the individual book folders, I have the final files in ePub and PDF form for the books along with the cover images for both ebook, audiobook, and paperback. However, as I mentioned earlier in the podcast, I don't have just the book files. I also have audiobook files, advertising files, and a very large photo library from a combination of stock photos, 3D renders, and photographs I have specifically taken over the years for the purpose of using for ebook covers and advertising materials. For advertising images and materials, like I said, I found the best organizing principle for me is by series. So I generally tend to just organize them by series. So Frostborn, Sevenfold Sword, Dragontiarna, and the Andomhaim books generally have just one folder of advertising images since I can use the advertising image for both Frostborn: the Gray Knight and Sevenfold Sword: Champion. For my audiobooks, I keep those on a separate drive because they eat up a lot of space. But then I just have them organized out by book and series, which is pretty easy when I need to find something. For my stock photos, I do have those pretty well organized and again, in a separate drive, which I back up separately. I divide out the images by type. So I have a folder for castles, a folder for medieval or ancient cities, a folder for modern cities, a folder for fireballs and so forth. And so if I'm making a book cover image and I think, hmm, I want a sword, I can go into the swords folder and look at appropriate pictures of swords until I find one that would work for the project. How this [has] changed over time is I've had to become a bit more organized with the files because I started using Vellum, which generates a separate file of its own. So then I had to make sure that those were organized into proper files. I used to keep all my stock photos in just one big folder that quickly became unmanageable. So I once took two days to properly organize these stock photos. Just keeping all the rough drafts in one big folder for the series has worked pretty well for me because once I am done with the rough draft and have turned into the final draft, I just ignore the rough draft file and any changes that need to be made are obviously made to the final draft file. I also used to keep all the cover images in one folder for some reason and that was a bad idea. So then I started keeping the specific cover image in the folder with the specific book and that has worked out well. Would this be something I would recommend to someone just starting out? I think so. You can obviously get more complicated with this and my file structure is pretty simple overall, but it works for me. I can find anything I need to pretty quickly. In fact, my folder structure is deep enough I find sometimes that I get halfway down the folder structure and forget what I am looking for before I find it, which is a separate problem from folder organization. But I've stuck to this pretty consistently over the last 15 years and it's worked well for me. So I think I could recommend this to someone starting out. I'd have a folder for your rough drafts and then a folder with separate folders within it for your final drafts. Conclusion File organization is not glamorous, but as any records manager at a US government agency can tell you, it is extremely important for finding, organizing, and preserving what you create. Searching for files is not a writing adjacent activity that you want to take up your time and you definitely don't want the stress of losing something that you worked on for a long time by naming and storing it incorrectly. Finally, I want to close out with a reminder that however you set up your writing files and organizing them, they absolutely need to be backed up on a regular basis. I would recommend using a combination of cloud and local backups since they reinforce each other. If heaven forbid your house explodes and you lose your local backups, you still have your cloud backups. And if your cloud provider goes down or gets hacked or something, you still have your local backups. So no matter how you organize your files or how well organized they are, you definitely want to back them up on a very regular basis. So that is it for this week. Thank you for listening to The Pulp Writer Show. I hope you found the show useful. A reminder that you can listen to all of the back episodes at https://thepulpwritershow.com. If you enjoyed the podcast, please leave a review on your podcasting platform of choice. Stay safe and stay healthy and we'll see you all next week.  

Bienvenue en 2030 Glorieuses, le podcast pour raconter les mondes de demain ! On nous répète partout que demain est foutu, qu'il est trop tard et que nous n'avons d'autre choix que de limiter les dégâts. À force de l'entendre, nous avons fini par mettre nos rêves en pause pour devenir les simples gestionnaires de notre propre extinction. Pourtant, je reste convaincu d'une chose : l'avenir ne se gère pas, il se rêve. Aujourd'hui, je reçois un homme qui a choisi de ne pas se plier au culte de l'unique performance. Frédéric Faure est le vice-président de Biocoop, le réseau coopératif pionnier de la bio. Contre une société froide et purement gestionnaire, Frédéric défend le temps long, la gouvernance partagée et le vivant. À travers le modèle de Biocoop, il nous invite à faire basculer d'échelle les structures alternatives pour qu'elles deviennent la norme de demain. Il nous pousse à lever la tête de nos tableurs pour nous reconnecter aux autres, à réclamer une responsabilité systémique et à nous rappeler que collectivement, "on vaut mieux que ça". Ensemble, on va voir comment les modèles coopératifs et les graines dormantes de la résilience peuvent nous guider vers un nouveau modèle de société, et comment le fait d'oser le rêve et le chemin partagé est l'un des outils les plus puissants pour construire les 2030 Glorieuses. Et pour retrouver notre galaxie utopiste, rendez-vous sur 2030glorieuses.org. Le podcast est soutenu par La Nef, la coopérative bancaire citoyenne qui soutient depuis plus de 30 ans les porteurs de projets sociaux, écologiques et culturels. Plus d'infos sur lanef.com.

In 1916, Zurich was a beacon for refugees. Fleeing the death and destruction of World War I, artists and free-thinkers from all over Europe fled to the neutral Swiss city.And it was here that the people who would start the art movement Dada came together. In a rare interview from 1959, held in the BBC archive, Richard Huelsenbeck describes how the group of young artists and pacifists shared a despair about the war and a disgust for bourgeois values.At the Cabaret Voltaire, he and the Romanian-born poet Tristan Tzara, the French sculptor Jean Arp and Romanian-born artist Marcel Janco experimented. Performances were known for their spontaneity, chance and absurdity - a departure from the conventional which confronted audiences. It was the beginning of an aesthetic which would spread across Europe and to New York City, eventually influencing Surrealism and later punk. This episode is produced and presented by Josephine McDermott.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there.For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more.Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Scene from the Dadaist film Ballet Mécanique, 1924 from the Collection of Musée national d'art moderne, Paris. Credit: Fine Art Images/Heritage Images via Getty Images.)

A structural shift is occurring as employees and customers increasingly bypass sanctioned IT systems in favor of faster, unsanctioned "shadow" tools that offer comparable or "good enough" functionality with less friction. This shift is highlighted through evidence from Gartner, SparkToro, Microsoft, and reports from Altran Digital Business, which collectively show sanctioned internal and customer-facing systems losing relevance as users opt for alternative solutions that optimize convenience and efficiency over formal governance. The most consequential development referenced is Microsoft's move to replace premium OpenAI and Anthropic models in core applications like Excel and Outlook with lower-cost in-house models, as reported by Bloomberg and Channel Insider. Microsoft claims these new models offer similar accuracy with increased efficiency, reflecting a broader market trend toward solutions that meet minimal functional thresholds at drastically reduced costs. This mirrors broader enterprise behavior, where cost and sufficiency now outweigh premium features, driving a reconsideration of value in AI provisioning. Supporting developments include a Gartner survey showing consumers are about three times more likely to use general AI tools like ChatGPT than corporate chatbots, and a report from Altran Digital Business revealing that over half of employees rely on personal devices or unauthorized tools for work, with nearly a third ceasing to report IT problems entirely. Clickstream data shows that more than two-thirds of Google searches end without a click as users accept AI summary answers, bypassing source links altogether. Vendors such as N-Able and Okta are responding with new products aimed at identifying and gating shadow tool usage, but these approaches often add operational friction without actually closing governance gaps, as Kaseya data indicates most SaaS accounts remain unmanaged despite existing controls. For MSPs and IT leaders, the key implication is that additional controls and "lockdown" measures are likely to increase friction without effectively steering users back to sanctioned processes. Current market tools that focus on visibility and gating of shadow IT may exacerbate the problem by making official workflows less attractive. The practical recommendation is to map where users have already abandoned sanctioned paths and focus on improving those official workflows until they are easily usable and competitive with shadow alternatives. The effectiveness of service delivery should be measured not by control metrics, but by whether users actively choose sanctioned systems for their work.   00:00 The quiet walkout  03:49 Even Microsoft picked good-enough 06:22 Why more control backfires 09:00 Why Do We Care?  Supported by:  Pax8   

On 9 July 2011, a new flag was raised in the city of Juba as South Sudan became the world's newest nation.It followed a peace deal that ended a long and bloody civil war in Sudan, which had killed more than two million people.Six months earlier, a referendum in the south of Sudan saw more than 99% of nearly four million voters choose independence.Malual Bol Kiir was 17 at the time and had been displaced during the conflict. He tells Daniel Rosney how he was overwhelmed with hope and optimism as change finally came.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Southern Sudanese people waving their flags in Juba. Credit: Roberto Schmidt via Getty Images)

On the afternoon of 10 July 1976, there was an explosion at the ICMESA chemical factory near Seveso, in northern Italy.A cloud containing a poisonous gas called dioxin spread over the town. For days, residents didn't realise they were in danger.They later developed skin conditions like chloracne and thousands of animals died or had to be slaughtered.Rachel Naylor speaks to Giuseppe Cassina, former Mayor of Seveso. Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Rescuer working during the dioxin contamination in Seveso, August 1976. Credit: Francois Lochon/Gamma-Rapho via Getty Images)

In the past year, Excel AI plugins have become increasingly powerful, raising the question: Are Analysts and Associates about to become obsolete, or are we entering the age of the 10x modeler? On this episode, Devin and Caroline Phipps, a ParkerGale VP, go deep on AI and how it's changing the game. They're joined by Tarun Amasa, Founder & CEO of Endex, an OpenAI-backed startup automating modeling for private equity and investment banks. We discuss building models from scratch, automating workflows, and auditing it all so you don't look bad in the IC. Learn about our use cases for deals and portfolio company work, and where we think the tools are headed from here. Plus, hear our predictions on how Endex and other AI-based tools will change the way private equity firms do their jobs in the future. Endex is an Excel-native AI Agent that accelerates financial modeling and data analysis. 

In this solo episode, Danny Gavin reveals how he automated his Google Ads Search Query Report process using Claude Cowork and Windsor.ai, eliminating the 3-4 hours per account it previously took to complete manually. The system pulls live metrics, merges them by keyword and ad group, and outputs a structured Excel file with an ad group summary, KPI-focused observations, and pre-populated negative keywords. It's a must-listen for those looking to systematize time-consuming account analyses and free up time to tackle other tasks. Episode Highlights:Search query reports are one of the highest-leverage tasks in Google Ads management, and doing this job manually can eat up three to four hours of work per account per cycle.Danny shares how he connected Claude Cowork to live Google Ads data through Windsor.ai and turned Optidge's entire SQR methodology into a repeatable automation.He shares what the six-tab Excel output actually contains, including auto-generated observations, pre-populated negatives, and an ad group summary that flags structural problems before anyone looks at individual search terms.The 80/20 split: See what Claude handles automatically versus where human judgment still makes the final call.This episode gives four practical lessons for building AI automations in an agency context, from documenting your process first to understanding why the ROI compounds over time.Episode Links: Digital Marketing Mentor PodcastDanny Gavin on LinkedInOptidgeClaude Cowork Windsor.ai Send us Fan MailFollow The Digital Marketing Mentor:Website and Blog: thedmmentor.comInstagram: @thedmmentorLinkedin: @thedmmentorYouTube: @thedmmentorInterested in Digital Marketing Services, Careers, or Courses? Check out more from the TDMM Family:Optidge.com - Full Service Digital Marketing Agency specializing in SEO, PPC, Paid Social, and Lead Generation efforts for established B2C and B2B businesses and organizations.ODEOacademy.com - Digital Marketing online education and course platform. ODEO gives you solid digital marketing knowledge to launch/boost your career or understand your business's digital marketing strategy.

In the 1970s, thousands of immigrant workers living in "foyers" or workers' hostels across France stopped paying rent. They were protesting against rent hikes and living conditions in the foyers, known for their tiny box rooms and substandard conditions, and against the racism of the housing management companies. The strike mainly took place in foyers run by Sonacotra, formerly Sonacotral: the National company for the construction of housing for Algerian workers.The strike lasted some five years, from around 1975 to 1980. Estimates vary, but at least 20,000 residents are thought to have taken part at the peak of the strike. Today, the strike is still remembered as a founding moment in the struggle for immigrants' rights in France.Mohammed Kherbachi, originally from Algeria, tells Carolyn Lamboley why he took part in the strike. A Whistledown production.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Protest at the Sonacotra homes for immigrant workers. Credit: Eric Bouvet via Getty Images)

This Week In Startups is made possible by: Northwest Registered Agent https://northwestregisteredagent.com/twist Vanta https://www.vanta.com/twist Sentry https://sentry.io/twist Today's show: *There are $100 trillion in global assets sitting on top of what Hanover Park co-founder/CEO Chris Hladczuk calls "human duct tape": armies of accountants in offices patching together work from various legacy tools (QuickBooks, Excel) that are holding funds' own data hostage. Can all of this be replaced with AI? Find out how their startup went from overseeing $1B to $20B in assets in just 15 months. PLUS, we flash back to March 2020, when Jason and Figma co-founder/CEO Dylan Field broke down the design tool's initial go-to-market strategy, made some WILDLY inaccurate COVID predictions, and considered anxiety about "SaaS burnout" years before the category went full apocalyptic. Guests: Chris Hladczuk on X: https://x.com/chrishlad Hanover Park: https://www.hanoverpark.com/ Dylan Field: https://x.com/zoink Figma: https://www.figma.com/ Relevant Links: Turner Novak on X: https://x.com/TurnerNovak Banana Capital: https://www.bananacapital.vc/ Emergence Capital: https://www.emcap.com/ Lux Capital: https://www.luxcapital.com/ Susa Ventures: https://susaventures.com/ Bill.com: https://www.bill.com/ METR: https://metr.org/ Granola AI note taker: https://www.granola.ai/ Vanta: https://www.vanta.com/ Foo Camp on YouTube: https://www.youtube.com/c/foocamp TechCrunch Mahalo coverage: https://techcrunch.com/2014/01/27/inside-mobile-news-launch/ Timestamps: 0:00 Hanover Park & the fund admin problem 3:32 Why funds outsource instead of building 5:44 Why fund accounting is so complex 10:38 The "one-click migration" goal 10:48 Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at https://northwestregisteredagent.com/twist 13:51 Context vs. intelligence gaps 16:11 No PMs, No Designers 20:46 Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist 23:18 This is a $100T opportunity 25:36 Flashback w/ Dylan Field of Figma 29:15 Sentry - Your team should be focused on shipping features — not chasing down bugs. New users can get $240 in free credits when they go to https://sentry.io/twist and use the code TWIST 31:22 Pre-AI enterprise security worries 36:30 SaaS overload and SaaS burnout 37:30 The evolution of Figma pricing 42:38 The rise and fall of Mahalo dot com 51:38 The work-from-home revolution begins Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Lon: X: https://x.com/lons Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Thank you to our partners: (0:00) PARTNER - AD BLURB (0:00) PARTNER - AD BLURB (0:00) PARTNER - AD BLURB Check out all our partner offers: https://partners.launch.co/ Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland Check out Jason's suite of newsletters: https://substack.com/@calacanis Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

In 1962, cameras were allowed into the White House for the first televised tour of the American president's renovated residence. And acting as the guide was one of the country's most famous first ladies, Jackie Kennedy.When her husband became president in 1961, Jackie had been disappointed with the “dreary” furnishings in the 132-room mansion. So, she announced a plan, not to redecorate, but to restore the 18th century building to reflect its history and heritage.At the end of the project, she invited correspondent Charles Collingwood on a tour for a CBS TV special. Jane Wilkinson has been through the archives.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Jackie Kennedy in the state dining room. Credit: Bettmann/Getty Images)

Show Notes: Update since recording: Restack has since moved to one simple plan at $800 per seat per month, and now works across PowerPoint, Excel, and Word as a single agent. Harsh Aggarwal is the founder of Restack, an AI agent that works inside PowerPoint to turn a consulting or PE team's analysis into a client-ready deck. He was previously at Roland Berger and product lead at an $8B PE firm. Restack: From Thinking to a Client-ready Deck Harsh explains that Restack is an AI agent that works natively inside PowerPoint to automate formatting for consulting and private equity teams. The purpose of Restack is to help consulting teams focus on client relationships and actual consulting work by automating the grind of formatting. Harsh highlights the historical advantage big firms had due to their production capacity, using McKinsey as an example. He discusses how AI has closed the research gap but the production gap remains, which is where Restack aims to help by automating the process of turning thinking into a client-ready deck. A Restack Demonstration Harsh begins demonstrating Restack by sharing his screen and showing a standard PowerPoint deck. He explains that Restack opens as a sidebar inside PowerPoint and can handle tasks that would normally take hours, such as updating a deck with new data. Harsh shows how Restack can update a deck with new data without specific instructions on formatting or chart appearance. He emphasizes that Restack can handle complex tasks like verifying data from sources like the SEC EDGAR website and updating slides based on that data. Converting Decks into Code Harsh explains that Restack converts the entire PowerPoint deck into code, allowing it to make precise changes to the data. He compares this technology to popular tools like Cloud Code and Cursor, which are used in software engineering to augment code bases. Restack can update specific lines of code in the deck, making it highly precise and efficient.  Restack updates the slides and analyzes the uploaded data, showing the progress on screen. Restack Results Harsh shows the results of Restack updating the numbers in the slides, explaining that it also updates the storyline based on the new data. He highlights that Restack takes screenshots to verify its own results before presenting them to the analyst or associate. The charts created by Restack are fully editable and can be manipulated like normal charts in PowerPoint. Harsh recaps the task of updating the data in four slides and shows the final results, emphasizing the efficiency of Restack. Creating Slides from Scratch Harsh demonstrates another use case where Restack can create a new slide from scratch using a data model. He explains that Restack can read the existing deck to understand the context and formatting, creating new slides that match the existing deck's style.  When asked if Restack can create any kind of chart, Harsh confirms, showing how Restack can convert a chart to a different type, like a waterfall chart. Harsh emphasizes that Restack is a generalized tool that can handle various tasks, making it versatile for different consulting needs. Pricing and Subscription Information Harsh explains how to sign up for Restack, either by visiting the website or reaching out to him on LinkedIn. He offers a free sandbox for listeners to test Restack on live cases, encouraging them to reach out for access. Pricing is $800 per seat per month, billed monthly, with credits pooled across the team (a five-seat team is $4,000/month). One to five seats are self-serve; six or more is the Practice plan. Harsh compares the pricing to tools like PitchBook and Bloomberg, noting the time and cost savings Restack offers.  Timestamps: 01:51: Demonstration of Restack's Functionality  06:08: Technical Details of Restack's Operation  08:03: Results and Verification of Restack's Work  12:34: Additional Use Cases and Capabilities of Restack 22:38: Sign-Up and Pricing Information  Links: LinkedIn: http://linkedin.com/in/heyhiharsh Company website: http://re-stack.com/ This episode on Umbrex: https://umbrex.com/unleashed/episode-653-harsh-aggarwal-how-ai-lets-solo-consultants-take-on-bigger-work/ 60-second Demo: http://re-stack.com/demo   Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.  

Send me a messageWhat if your ERP only sees the supplier decision after the real battle is already over?In this episode of the Resilient Supply Chain Podcast, I'm joined by Spencer Penn, CEO and co-founder of LightSource, a direct procurement AI platform. Spencer brings a practical view from high-pressure hardware and autonomous systems environments, and we look at why procurement, data, visibility, and supplier risk now sit right at the heart of supply chain resilience.You'll hear how direct procurement can still run, quietly and expensively, across Excel, email, and institutional memory — even inside companies that believe they've digitised the function. We break down why that matters for manufacturing speed, cost control, sustainability, and the ability to move before disruption hardens into margin loss.We also explore where AI agents may add real value first: not by replacing procurement teams, but by helping them manage the decisions that can create or destroy hundreds of millions in value. Spencer shares how better sourcing workflows helped one automotive programme shorten sourcing cycles by 25% and cut cost creep by 37%.And you might be surprised by his analogy: procurement is like running water. Nobody notices it when it works. Everyone notices when it stops.

Speaker: Brent Kercheville. There has never been a sport in which a successful athlete has ever said that he or she does not need to practice any longer. Michael Jordan is considered one of the greatest basketball players of all time. Yet he did not proclaim that he is such a great player that he did not need […] The post Excel Even More (1 Thessalonians 4:1-2) appeared first on Biblical Truths from West Palm Beach church of Christ.

Between 1984 and 1986, to celebrate 100 years since it was dedicated, the Statue of Liberty underwent a multi-million-dollar restoration project. The statue was a gift to the USA by France, to celebrate 100 years of American independence. The project also restored the former immigration processing centre on the nearby Ellis Island, which became a National Museum of Immigration. The entire project was funded by private investment. Peter Dessauer, one of the architects who oversaw the process, tells Tim O'Callaghan about the challenges involved. Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: The Statue of Liberty under restoration in 1985. Credit: Gene Kappock/NY Daily News via Getty Images)

In 1946, Mexican American Raoul Cortez launched the first US radio service in Spanish. Based in San Antonio, Texas, he used charm and creativity to win over advertisers in a time when Hispanic consumers weren't seen as a relevant market.Raoul's grandson Guillermo Nicolas spoke to Stefania Gozzer about the challenges his grandfather faced to push forward in building a pioneering business that would turn him into a broadcasting mogul.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Raoul Cortez with two of his children at KCOR. Credit: Guillermo Nicolas)

Kiera has talked to a ton of doctors to come up with tips for how to fill that CEO time that so often feels fathomless. The ideas include blocking out your schedule to understand your frequency, committing to "deep work" time, optimizing whatever you can, and more. Episode resources: Subscribe to The Dental A-Team podcast Schedule a Practice Assessment Leave us a review Transcript: Kiera Dent- Dental A Team (00:00) Hello, Dental A Team listeners, this is Kiera. And today is a fun rift of a CEO, giving some CEO tips. And I was just on a birthday trip. You guys, had a birthday and it was so fun. And my husband and went off to Austria and Amsterdam. ⁓ We have traveled a lot. If you guys have been a podcast listener, you know I'm obsessed with traveling. so because we've traveled so much, we're kind of on to off the beaten path locations and.   This year I was like, Hey, I've never seen the Tulip festival in Amsterdam. Like let's head on over there for that. And so when we were there, some of these ideas came to me and I realized this would be, again, I love some white, white noise space guys. If you are an owner of a business and you have not booked yourself one trip that you are off the grid completely. when I talk my, so it was my birthday when I was gone and ⁓ luckily I have some like great friends in my life that texted me. My phone is off off.   Like I kid you not, is on airplane mode. I don't even put it on wifi. Like I don't text people. Jason has his phone and I will say it's the greatest gift I give myself. And one of my friends did not know this quite as well with me. And she was like, Hey, said my other friend, like I texted care like two days ago and I haven't heard from her. She's like, ⁓ when care travels, she is like dead off the grid. Like you will not get in touch with her. If something happens, even if her house is on fire, like she'll deal with it when she gets home, like genuinely she's off the grid. She needs to have that, like just shut off downtime.   And I will say for any of you, and I told an office to do this a while ago and they came back from their trip and they were like, Kiera, that was the best gift and we're going to do that now forever. And so for you, that would be my like birthday gift to all of you to do for yourselves is take a week, completely shut off. No Slack, no emails, no text messages, ⁓ completely turn your phone off if you can. Tell your family where you're at, like have it to where someone can be reachable if necessary. But I will tell you, I sleep better.   than I ever do. ⁓ I come back refreshed. My team all tells me like I am such a happier boss when I come back. I feel like my relationship with my husband is so much stronger because I feel like he gets his wife back. I feel like I come back. I was in the Tulip Festival. There's videos that I have not posted. They're just for Kiera. I feel like literally skipping like a little girl through these Tulip Festivals. I feel I go back to the true core of who Kiera is. I don't need to be a boss. I don't need to be a CEO. I don't need to be a consultant.   I am able to be like free bird Kiera out there. Jason even calls me bird when we travel and it's just a space. So there's a little tip for you that I hope you listen to and I hope you take and hey, if you do it, send me a message and let me know how it went for you. I will also fair warn that sometimes what I call it is it's the adrenaline. What would it be? It's like coming off of the adrenaline. So that drop.   Sometimes I get angry. So fair warning that that does is the dopamine drop if you will and I felt like I have had like three days where I'm just sheer angry and I'm like what is going on? I'm on vacation. I'm in this beautiful place and I'm just mad but it's because you go from being so high tilt throttle to nothing that your nervous system does kind of have this like whiplash. So I have found that some ways to ease into that is one knowing that two I tried to hit the gym like three or four times when I'm over there because that allows like   a lot of that energy to just get expelled rather than going from like high level to nothing. And then I've also found that like reading books, so something for my mind, I usually try to do fiction books. So it's not like obsessive learning, ⁓ but just taking my mind into a different space. Some of those can be a tip for you. again, hopefully some of those help. But ⁓ today I wanted to go through like, how do I actually block and use my CEO time? Because I think that this is a zone that a lot of people want to do as owner doctors and, but they're like, I just don't know what to do during CEO time. So I wanted to   just share with you what I personally do in the company, how I block it, what I have, and then also letting you guys know that we actually have a forum and I'm happy to share it with any of you. can reach out, email us, Hello@TheDentalATeam.com, but like what do I actually do during my admin time checklist? This has been built with lots of different doctors input and also what I personally do.   So for me, I do have a personal assistant and I have an executive assistant. So first step is if you don't have either of those, and I know I talked to a lot of dentists and they get weird about it they don't want to have an executive assistant or a personal assistant, but I will say hands down, this is something absolutely that's tactical that you should do. I have my personal assistant actually watch my schedule and then her job is to go through and to refine my schedule. And she does an amazing job. She's like, hey, Kiera, you're running back to back to back all these meetings. You need to move into some different places. Like these are some things that I think you need to do.   We actually have an Excel spreadsheet. just so you know, I do have an Excel spreadsheet. I'm looking at it right now as I'm podcasting for you. And I look in there and I put in and I have on my like on the right hand side, I have my scheduling needs, what my frequency is. Like we've got podcasting in there. I've got certain coaches that I need to get into. I've got my workout time in there. I've got like my C-suite meeting with the COO and the CRO and our lead consultant and ⁓ Britt and my EAPA meetings and the bookkeepers and our fractional CFO.   I have all those meetings that I need to be hitting. And so we look to see where are those at, where are the meetings that I need to have, but non-negotiable for me is my deep work time. So that's my CEO time. That's my deep work time. I have to have on busy weeks, non-negotiable, I need a two hour block. Like that is a non-negotiable for me, must, must. And it's during the day. I don't do it on my Fridays or my day off. I don't enjoy that for me. I get really actually annoyed to do it on those days. So mine gets blocked during my time.   For dentists, I recommend you do it during your time. ⁓ Working hours, I recommend that you block it in there because if you're producing, let's say $1,000 an hour, you've got to be doing at least $2,000 worth of value during that time. again, when you're giving that up, you tend to be a lot more productive. for me, my first week is very busy. I, first week in the company is something that is none of our favorites. Like we love it.   But it's hard, it's heavy. We have our doctor mastermind that we do. I usually do podcasting on the first week. I'm meeting with a lot of my direct reports. It's a heavy week for me, but we still have my non-negotiables. And so I just look at my timing and I know Monday's a full meeting day, Tuesday's a coaching call podcasting day, Wednesday I'm meeting with the COO, CRO, CFO. I have all those meetings to make sure that they can move on their items from Monday. That for me, it's a pretty heavy day.   And then I've just got a lighter afternoon on Wednesdays to just catch up on projects. Thursdays where I'm, and for me, I also have to know where is my ideal time. So when you're blocking your CEO time, you need to know where are you the most optimal? For me, I'm always the best in the morning. Like seven, 738, like right there is where I'm gonna start like cranking and I'm gonna just go solid for about two hours till 10. My worst time in the entire day is three o'clock. Like I am dead and usually around 11, I start to like.   zone out and I'm not as productive. So I've just had to try that. That's a trial and error. Test yourself. See, do you like the mornings? Do like the afternoons? Do like the end of day? Like where are you? Brittany's zone, she's a night owl. That girl, she starts to get her prime optimization on it like three, four, five o'clock at night. Like that is when that girl, she starts to churn and she puts out her best work and we both know that. I'm like, amazing. We work on very polar opposite different ones. So like she needs to put her deep works over your OMS, finding out as well for them. But for me,   Mine is Thursday mornings is where I put that deep work. Then what I prefer to do is on my weeks where I'm not as busy. So I do coaching calls every other week. On my non coaching call weeks, I have two hours on Tuesday, two hours on Thursday. So I'm blocking four hours for myself. So your personal assistant, your executive assistant, they should be blocking this. And to me, this is a like, you do not like, you know, like a stove is hot. Like we don't touch that. You never touch my deep work blocks like ever. Don't ask me to schedule there. Don't ask me to put a meeting there.   Do not ask me to disrupt that time. And I am so strict on my deep work time that people know like, we don't touch that with a 10 foot pole. And your team needs to know that. Doctors, also recommend a lot of times, especially if you do it in the morning or the afternoon, go to the library somewhere where people aren't going to find you. Go to a coffee shop where you can like headphones in zone out. But I found when a lot of times my doctors are trying to do CEO time and they're at an office, their door is being knocked on.   If you want to be in the office, you need a sign on your door, and I've done this for several doctors, where it says CEO time, do not message or do not enter. And it needs to be like, if someone knocks, because they always do that knock like, hey, sorry, doc, it's just real quick. Do not for one second respond, because your team needs to learn that you're dead set on this. Like, this is your only time, you guys, that you get to work on the business. The only time.   Otherwise, what happens is you become the CEO that never sleeps because your CEO time is in the middle of the night. It's early, early in the morning. It's late at night because you never have time for your brain to actually fix these problems. And so your brain just churns on all this. Like I need to check the books. I need to check this. I need to have that. So what you do is when you're exhausted, you try to like get all these things done rather than having set times. You can also build in your schedule. Like there's a set time for paying the bills. If you're doing that. I know I've got some doctor doing that.   I would hope that your OEM does that and you just have meetings where they report to you. But again, depending upon where you are on this journey, you really need to block it. Now, great, we figured out how you block it. Now what do you actually do during that time? So for me, big things I'm gonna be working on are usually for me big projects. So I have a lot of presenting, a lot of events, lot of like, right now I'm reworking our entire customer journey and that's a big project that needs to get done. I'm working with our CRO and like,   building out budgets and working models. And I need to review all of the projections she sent over to me. like, it's the, the projects that for me, like, there's a lot of things like approving payroll or stamping off on this budget that don't require a lot of time. But if my marketer, our CRO is sending over to me, like an entire proposal of their growth marketing plan, that's not something that I'm going to be doing in like a quick, like 15 minute block. Like I need set quiet, like   uninterrupted focus time is what that really is. So imagine like studying for a big test, like you guys like blocked everything out. That's what you work on here. So it'd be your overhead, your P &L, like going through your CPA reports for you. Looking to see credit card charges, like looking through the P &L, like what's a detailed report, what things are on there, are fees categorized correctly. You do this once a quarter, have your CPA send it over to you. You can do it once a month, but you look at that.   What about my cost per procedure? How much does it actually cost me to do every single procedure? And like, how could I reduce my overhead? Looking at my expenses, looking to see my tax estimated bill and have we saved enough for that? And do I have enough money set aside for that? You can go through that. We have an entire systems checklist. You can actually go through all the systems of the practice. I have it set up per month and this is a great time for you to actually review. All right, let's look to see how are our doctors being optimized? What trainings could I put into place? What things could we bring in the practice?   How could I maximize and optimize this? Could we do training with our team for this? What about areas for my like schedule? Like let's review the schedule. Am I the most optimized when I'm producing or is there a way that I could type my block schedule up and be stronger on it and produce more with minimal effort? Like to me, CEO time is where I'm squeezing the juice out of the lemon. Like where can I optimize this a little bit more? How could I optimize my hygiene department? Let me look, is there a way I could add curadont? Can I find a better way to teach my hygienist?   When was the last time we reviewed our periope protocol? Is that still what I want them doing? What could I do on like what would doctor do? And could I train at my hygienist to actually tee up treatment better for me? What if I want to bring on an associate, like let's go through an entire associate onboarding document, set it up. What's my training schedule with them? What are my case studies I'm going to put together with them? Do I have a doctor study club that I'm going to do? What about looking at our new patients? Let me review all of our marketing dollars. Where am I spending the marketing dollars? Are we answering the phone? What's our phone conversion rate?   Let me actually assess my entire front office. Like where are the areas that are keeping us so bottlenecked? And is there AI or different processes or different systems that we can put in place to make it better for them? Let me go through all of our treatment plans. What did I diagnose? What was scheduled and why? What things am I missing? And how could I tighten up my treatment planning process? How can I work with my treatment coordinator and what things do she or he and I need to work through so that way I can close more cases and help more patients? ⁓ Just looking through all these different things.   going and listening to treatment plan presentations of the team, listening to how my hygiene team's training up Floyd and Perio, looking, going and talking to my biller and saying, walk me through our AR. Like I want to see, let's call people together. Where are we at with the AR? How many patients are not called? Show me an EOB. I want to see how you're entering this. Teach me those ways. Are my percentages right where they need to be for collections? Let me make sure my bank statements match my collection statements. What about onboarding? I'm going to be hiring new people. Let me check that entire onboarding process. And is it set and is it ready to go?   Does each procedure have its own checklist, pictures, accountability? If not, can I build out a process and have my whole team take this on or can I delegate this to a team member? Let me look at my marketing. Let me look at like, what is the next, like what's my one, three, 10 year plan? Let me read traction and figure out how to run better meetings. Let me read the book, Designing Your Life. Like, that was a laundry list. That's what you work on during Deep Work CEO time. You read books.   You listen to podcasts, you think about the business, you have quiet white noise time, you build associate onboarding documents, you build better onboarding. And there's a fine line because I want you to know like some of those things should be done by your OM and other people that are not you. ⁓ Reviewing marketing plans, reviewing budgets, looking to see what people are doing. That is my time that I do need to dedicate talking to vendors, researching consultants, having meetings with consultants. Like that's during deep work time. Those are things that I can do during that time. But really it's my time to work.   on the business, work on the highest level things. And I hate when people are like work on the business. I'm like, what the heck does that mean? It means that you're physically like, okay, pretend the business. We're going to go buy it from someone else. What would we go in and do if we were doing our due diligence? We'd look at their treatment plan. We'd look at their new patients. We'd look at their marketing. We'd look at their PNL and their overhead. We'd look at their EBITDA. We'd look to see where we could squeeze juice before we bought the business. If that's like an easy way for you to think of like building and working on the business, it's one, if I were going and buying a business, I'm going to go work in like   optimize those things. The second side is like, where are we broken? Like what things are not working? I realized like, you guys, our consulting team has grown, our clients have grown. I'm so proud of the business that we've built. I also realized what we used to do versus what we need to do today, there's a gap. And so now this is a big project for me of like, okay, we got to figure out our marketing to our sales, to our client success, to our consultants, to our renewals, to our masterminds.   This whole little sprinkling journey has like eight different pieces to the customer journey. And I need to go refine and optimize every single one of those, have meetings with the core team members. I need to work through this. So I built a whole thing with ChatGPT. What do I want it to be? Then I scheduled the meetings with my team. Super freaking pumped. That's a huge, huge, huge business initiative. No one on my team is going to think of that. Like maybe they do.   But that's Kiera's job. That's a CEO's job. That's where I need to be putting my time, my effort, my energy. That's what drives your business. What's going to make your business? Like you can also do a SWOT analysis. Like what's my strengths, weaknesses, opportunities, threats. A lot of times I go back to my idea boards. I have a book that if you guys know, I've talked about on the freaking podcast and I'm just chicken guys. need, what is it called? Like when you write under a different name, that's what I need. I'm just scared of reviews of my writing.   So I'm like, I need a pen name. Like I just need to make up a name and publish the book. It's ready to go. It's been built. I need to get that done. But I spent a lot of my CEO time writing a book. You spend a lot of your CEO time looking to see if you want to expand your business. If you want to simplify your business, you want to optimize, this is what you do. So I wanted to just get on the podcast and help you see how do you do it? Which team members do I use for it? Where are mine blocked? And how do you set yours up? And I would say,   Today, listening to the podcast, my action items to you would be number one, I need you to find out where your prime optimize time to work is. Is it morning, afternoon or end of day? Then the next thing is I need you to block two hours minimum every single week. Then three, email me, talk to me, whatever you need to do, but I need you to build a CEO checklist and I need you to start working on those optimization pieces every single week consistently. And I need this to be like your bootcamp workout training where you commit to doing this for the next eight weeks and then we reassess.   Non-negotiable, not interrupted, not like, I don't feel like it today. It's a, have locked in for eight weeks. If you need an accountability partner, well, high five, I'm Kiera. This is what we do. This is why people hire us. It's because you usually know what you need to do. You just aren't willing to stay committed to doing it. Why am I paying my personal trainer so much for a photo shoot that we're doing? Because like yesterday I benched freaking Reese's. I was exhausted. I was tired. I haven't slept for days coming in off that trip. Jet lag's a beast. So that was a fun flip.   ⁓ exhausted, tired, not wanting to hit my workouts, not wanting to hit my macros. And she said, Hey, Kiera, you got three weeks left before your photo shoot. Here are the things you need to do when that happens. Like you're good. This is what happens in tomorrow. This is what I want you to do when you get that craving. Here's exactly what you're going to eat. I don't know. Even have to think today going into it. We're not going to binge on the Reese's eggs. Yes. Did I go buy like five packages post Easter because they're my favorite treat. And if you want to like schmooze me, send those to me. Absolutely.   But I needed somebody to hold me accountable to it. When the days are hard, when things you don't know what to do, when I'm, I told her, I was like, I don't know what to work on now. Like I'm having a hard time hitting my workout. She's like, all right, let's rework it. Let's figure it out. Sometimes having a coach that holds you accountable, that pushes you into this is one of the fastest, easiest ways to get more results with less effort. She holds me accountable to it. It's not hard. She's there in my corner when things fall apart. She's there in my corner when things are surviving. I talked to her, maybe.   30 minutes a week, if that. And it's usually like every other week, if that. It's usually a quick text of like, hey, I'm struggling here, I just need your help. Or, hey, I need you to hold me accountable this week to making sure I get my CEO time done. We as consultants are that way for dentists, because you don't usually need a whole new operating system, you just need someone to help you stay accountable to the things you know you need to do. So if we can help you with that, reach out, Hello@TheDentalATeam.com. But today commit to having CEO time dedicated for you, for your business.   It's one of the greatest gifts I can give you. So yes, go on vacation, happy birthday to you when that happens or whenever you want it to be. And the second thing is have your dedicated deep work CEO time. Hopefully that gave you a nice laundry list of things to work on. What I do, the only other thing that I didn't share with you is throughout the week as things come up on me that I know I'm gonna need more brain power to do. I have my personal assistant. say, hey, pop this in on my deep work. My deep work block is set as a private thing so people can't see it.   So she goes in and puts all the things that I need to work on. So when I show up to deep work, I'm not spending thinking time of what do I need to work on? It is literally already there with all the links, all the pieces. And that's her job is to make sure when I walk into deep work time, it is exactly what I asked her to put in there. The things I want to work on, things she might see that I need to get answers to that are not like a simple answer. That's not taking my time. These are like heavy items. And her job is to make sure my deep work is always there. So if that helps you, who I use, who on my team,   Sometimes I feel like these are the little like peel back the curtains of what do other CEOs do? This is what our doctors do. This is how we share in the masterminds. Come in person, be with us, get around like-minded people. Your net worth isn't equal to your network. And I would say it might be time for you to upgrade and elevate. And I'd love you to be a part of ours. So reach out. Hello@TheDentalATeam.com. And as always, thanks for listening. I'll catch you next time on the Dental A Team Podcast.

All frontier AI models are reportedly delayed. ⏳New reports show that frontier models there were supposed to be released this month like GPT-5.6 and Gemini 3.5 Pro have been delayed as a result of the ongoing Anthropic vs. U.S. Government dispute. So while we may have to wait a few more weeks for SOTA AI models, we DID get a ton of new AI features and model updates that are available now. Tune in as we dish the 7 new AI features that can change your workflow today. Claude Tag, Gemini Home, Copilot Excel Skills and 7 other AI Features Available Today you Should Be Using — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT 5.5 Instant Model Upgrade DetailsGoogle Finance AI Portfolio Tracker LaunchGemini-Powered Google Smart Speaker ReleaseClaude Tag Collaboration in Slack ExplainedCanva Grow 2.0 Automated Marketing PlatformGemini in Chrome Select from Screen FeatureMicrosoft Copilot Skills Automation in ExcelTimestamps:00:00 Upcoming AI Model Releases Delayed05:44 Switching between AI models07:15 AI-powered portfolio analysis tools12:51 Setting tasks with voice commands15:20 Introducing Claude team plan17:55 Discussing Anthropic's new feature21:50 Canva's New Feature at Cannes25:11 New Chrome Feature Overview28:45 Using Copilot skills in Excel31:33 Show schedule and subscribingKeywords: GPT 5.5 Instant, OpenAI, AI model update, conversational AI, large language models, Gemini 3.5 Pro, Google AI, Anthropic, Claude Tag, Slack integration, Claude Enterprise, Claude Team Plan, Claude Slack app, multiplayer AI in Slack, channel manager AI, proactive AI assistant, Google Finance app, portfolio tracking, AI research tool, finance AI, Android AI apps, iOS AI rollout, AI-powered key moments, smart speakers, Gemini for Home Assistant, Google smart speaker, natural language conversations, Siri, Alexa Plus, bidirectional voice mode, Google Calendar integration, AI home assistant, Canva Grow 2.0, performance marketing AI, ad automation, campaign optimization AI, Magic Layers integration, LinkedIn ads, TikTok ads, Meta ads, Gemini in Chrome, select from screen, computer use capabilities, Gemini 3.5 Flash, Chrome AI features, Microsoft Copilot, Excel AI, Copilot skills, reusable Copilot workflows, finance skills in Excel, business intelligence AI, custom Excel skills, markdown skills for AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

In 1955, Rosa Parks made civil rights history in the US when she refused to give up her seat on the bus.Segregation laws in Montgomery, Alabama, meant that when a bus was full, black passengers had to stand and give up their seat to white passengers.Her subsequent arrest sparked a boycott of the city's buses by the African American population.Led by Dr Martin Luther King, the protest became one of the most significant campaigns of the civil rights movement - and ultimately led to victory in the courts.In November 1956, the US Supreme Court upheld a lower court's ruling that bus segregation was unconstitutional.Vicky Farncombe tells the story using BBC archive interviews. This episode was first broadcast in 2024. It contains outdated language.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Rosa Parks. Credit: Getty Images)

In September 1997, the remains of a Native American chief were returned to the United States, more than a century after his death in England.Chief Long Wolf, a Lakota leader, died in 1892 while touring with Buffalo Bill's Wild West Show. His family knew he had been buried in London, but they didn't know where, until a British woman came across his story in a second‑hand book.Following an exhumation, he was finally returned to his ancestral homeland in South Dakota. Helen Ledwick speaks to Mary Black Feather Condon, Chief Long Wolf's great‑granddaughter, about his extraordinary journey home.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: Chief Long Wolf and his family. Credit: Johnny Eggitt/AFP via Getty Images)

On 18 March 1959, Hawaii was brought into the United States of America as the 50th state with the passing of the Hawaiian Admission act.Five months later, on 21 August it was officially proclaimed the 50th state by President Eisenhower.Former governor of Hawaii, John Waihe'e, tells Jen Dale his memories of statehood and why Hawaii's history with America means it has become a divisive issue.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by and curious about the past. We take you to the events that have shaped our world through the eyes of the people who were there. For nine minutes every day, we take you back in time and all over the world, to examine wars, coups, scientific discoveries, cultural moments and much more. Recent episodes explore everything from how the Excel spreadsheet was developed, the creation of cartoon rabbit Miffy and how the sound barrier was broken.We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: the moment Reagan and Gorbachev met in Geneva, Haitian singer Emerante de Pradines' life and Omar Sharif's legendary movie entrance in Lawrence of Arabia.You can learn all about fascinating and surprising stories, like the invention of a stent which has saved lives around the world; the birth of the G7; and the meeting of Maldives' ministers underwater. We cover everything from World War Two and Cold War stories to Black History Month and our journeys into space.(Photo: President Eisenhower signs the proclamation admitting Hawaii as the 50th state. Credit: Getty/Bettmann)