Podcasts about Excel

In 2001, filming began on City of God which would stun audiences with its unflinching honesty.It captured the brutal realities of child gangsters from Rio De Janeiro's favelas trapped in an unforgiving cycle of violence.Local children were cast in the film, which was nominated for four Oscars, and their own lives weren't far from the stories on screen.Katia Lund who co-directed the movie, speaks to Reena Stanton-Sharma about how she was able to draw powerful performances from the children, capturing moments of anguish and terror. 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: Katia Lund (second right) with some of the cast of City of God and director Fernando Meirelles. Credit: Francois Guillot/AFP via Getty Images)

«Esa relación ya no me suma», «tengo que optimizar mi domingo», «necesito gestionar mi tiempo con mis amigos». Sin darnos cuenta, hemos metido un libro de contabilidad en nuestras relaciones y un control de calidad en nuestro tiempo libre. Nos hemos convertido en los gerentes de nuestra propia vida.En este primer episodio de la miniserie inspirada en el texto «Mercado de Valores» de Carlos Javier González Serrano, analizamos cómo el lenguaje corporativo y financiero se nos ha metido debajo de la piel. ¿Por qué sentimos culpa cuando no somos productivos? ¿Cómo pasaron el Bien, la Verdad y la Amistad de ser valores humanas a convertirse en simples KPI?

This hour: Will Jarren Duran get the DFA?; Mego assigns D&D alignments to the stars between that fly ball in Sacramento - Contreras is chaotic neutral; Mego & Scheim discuss ‘The Odyssey'; Christian Arcand pops in for a flawlessly-executed crossover

Eu sou Ludimeri Picelli, coordenadora da Casa Espírita Luiz Picelli, em Maringá-Paraná-Brasil e estou fazendo a leitura do livro FILOSOFIA ESPÍRITA, VOLUME 4,  ditado pelo espírito Miramez, ao médium João Nunes Maia, cujo livro traz reflexões elaboradas sobre a obra O livro dos Espíritos, de Allan Kardec.Este livro é de estudos e reflexões e por isto iremos lendo pergunta a pergunta de O Livro dos Espíritos, da Doutrina Espírita, codificada por Allan Kardec, para que possamos assimilar bem o seu conteúdo e estabelecermos a tal reforma de pensamento e comportamento, que Jesus espera de nós.Este é o segundo de uma série de vinte livros, em que Miramez comenta as perguntas de O Livro dos Espíritos, objetivando orientar-nos no estudo dessa obra ímpar, sem qualquer pretensão, a não ser fornecer subsídios para melhor entendê-la e trilhar com segurança o caminho da Luz.O que Miramez pretende não é decodificar O Livro dos Espíritos para nós leitores, mas apresentar-nos alguns pontos para nossa meditação, a respeito de cada pergunta, para que possamos entrar em sintonia com a bondade e a paz que são emitidas pelo Amor Maior.Nossos podcasts são leituras de livros e mensagens da doutrina espírita, que foram ditados pelos nobres espíritos de eskol e codificadas por Allan Kardec, bem como outras obras psicografadas por médiuns de renome, trazendo-nos uma doutrina reveladora e libertadora, para, assim, entender o Cristianismo Redivivo.- para nos ajudar, doe-nos um café, faça um pix caridadeamoreluz@gmail.com, ou pelo cnpj pix 37.965.614/0001-18, pois suas doações nos manterão no ar, e ajudarão nossas ações sociais, cursos, podcasts, com bastante elevação aos sentimentos daqueles que se aproximam de nós.- visite nosso site celp.org.br  - visite nossas redes sociais facebook e instagram, com o nome celppicelli e youtube celp-picelli- venha estudar em nossa escola: MAGNA - Centro de Excelência em Magnetismo e Apometria- venha somar conosco? Venha ser um caminheiro CELP-PICELLI

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:

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:

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:

En este episodio de Dimes y Billetes, platicamos con Grupo CorpoNext sobre cómo se han consolidado como los especialistas en Salud Empresarial, transformando la gestión, la eficiencia y los resultados de las organizaciones a través de sus 4 unidades de negocio. Hablamos de por qué una empresa sana es una empresa imparable, de cómo la implementación de los softwares número 1 a nivel mundial impulsa el potencial operativo, financiero y humano de un negocio, y del camino real detrás de su transformación digital.corponet.comPeoplenext.comCorposuite.comerp365.com.mx#GrupoCorpoNext #SaludEmpresarial #TransformacionDigital #SoftwareEmpresarial #LiderazgoB2B #EficienciaOperativaPrueba café el Capitalhttps://cafeelcapital.com/s/08a48400:00 – ¿Qué es salud empresarial y salud financiera?03:37 – Empresa como ente vivo: sin conciencia no hay cambio04:44 – Propósito, rentabilidad y flujo como pilares06:44 – 95% de empresas sin información para decidir09:12 – De “changarros” a empresas institucionalizadas10:09 – Síntoma #1: multi‑Excel y procesos aislados13:15 – Síntoma #2: no saben rentabilidad por cliente o producto15:09 – 25 años, 500 empresas transformadas y foco en microindustrias18:12 – Qué es empresa mediana y por qué no es solo tamaño23:12 – Promesa mínima: 25% de eficiencia en tiempo y trabajo28:23 – SAP Business One “fuera de caja” vs. implementación con mejores prácticas33:56 – Inversión típica: 65,000–100,000 pesos y retorno en 12–18 meses36:51 – Implementar desde startup: cultura que crece “derecha”43:30 – Por qué usan tres ERPs: SAP, Oracle y Microsoft57:23 – Caso Grupo Valeria y caso de acero con SuccessFactors

In 1943, the cellist, Anita Lasker-Wallfisch was sent to the Auschwitz-Birkenau concentration camp. She expected to be killed in the gas chambers but survived because she was recruited to play in an orchestra set up by the women prisoners. In 2015, Anita Lasker-Wallfisch told Simon Watts about her experience and the power of music in the darkest moments in history.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.(Picture: Holocaust survivor Anita Lasker-Wallfisch. Credit: Jim Watson/AFP via Getty Images)

On parle IA prédictive cette semaine dans tech 45' avec Alexandre Pasquiou, CEO et cofondateur de Neuralk AI. Sa startup s'attaque à un angle mort de l'intelligence artificielle : les données tabulaires des entreprises, CRM, ERP ou fichiers Excel, et si on pouvait prédire en analysant toutes ces datas le churn client ou la fraude ? Neuralk compte parmi ses investisseurs les fondateurs de Hugging Face ou Gladia, 2 startup françaises déjà passées sur ce podcast. Je suis Seb Couasnon, tu aimes ce RDV hebdo ? Mets-nous des étoiles, laisse un avis, abonne-toi et n'hésite pas à m'écrire sur X ou LinkedIn

In 1964, a group of teenage boys organised a convention in New York – it became known as the first official Comic Con.The idea began after 16-year-old Bernie Bubnis wrote an article in his comic book fanzine. But when no-one else took on the project, he rounded up friends to help. Together, they booked a venue, arranged a date, sent out letters and posted ads. And for the star attraction, they invited legendary American comic book artist, Steve Ditko, co-creator of Spider-Man and Doctor Strange.In late July, the doors opened on the first convention, kickstarting what's become a worldwide cultural phenomenon. Bernie tells Jane Wilkinson how it happened. 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: Comic Con 1964 badge. Credit: Bernie Bubnis/Art Tripp)

A Filmklub podcast szezonális minisorozatában magyar filmkritikusok mesélnek a munkájukról, az életükről, az ars poeticájukról, a hozzáállásukról, az ízlésükről, az álmaikról és vágyaikról.„Utat kell mutatni a zavarosban” – mondja a filmkritika egyik legfontosabb feladatáról a Kritikusok hete új vendége, Csákvári Géza, aki több mint negyedszázada a magyar filmes újságírás egyik meghatározó alakja. 2000 és 2016 között a Népszabadság kulturális újságírója és filmkritikusa volt, 2017 óta a Népszavánál tölti be ugyanezt a pozíciót, emellett a VOX mozimagazin állandó szerzője, de publikált a Filmvilágban is. A 2010-es évek első felében Képszabadság címmel videokritika-sorozatot csinált Köves Gáborral, ebből hét epizód maradt fenn a YouTube-on.Amit egy magyar filmkritikus elérhet, azt szinte mind elérte: az egyik utolsó ember az országban, aki még főállásban írhat filmekről. 2009 óta a CineFest Miskolci Nemzetközi Filmfesztivál művészeti igazgatója, vagyis ő válogatja a fesztivál programjának jelentős részét. Az Európai Filmakadémia szavazati joggal rendelkező tagja, 2023-ban pedig egyedüli magyar újságíróként bekerült a Golden Globe-díjakról döntő nemzetközi zsűribe.Ebben az adásban arról is mesél, milyen érzés, amikor egy filmkritika nemcsak vitát, hanem fizikai konfliktust is kivált: a Blokád rendezője, Tősér Ádám egy veszprémi filmfesztiválon fellökte őt az egyik írása miatt.Saját bevallása szerint frusztrált filmes: két kisfilmet is rendezett (Tékás, Darth Vader ruha nélkül) és szereplőként feltűnt a Most vagy soha! rendezőjének elfeledett első filmjében, a 2003-as Nincs mesében. Letterboxd-fiókja nincs – a megnézett filmeket egy Excel-táblázatban vezeti –, a Facebookon lehet követni.Dolgok, amikről szó van az adásbanGéza Wikipedia-oldala, amit le akartak törölni, mert nem elég híresGöncz Árpád hazaárulásra készülő, bomlott elméjű gonosz, Antall József hős a NER új kurzusfilmjében - Géza írása a Blokádról, amit kifogásolt a film rendezőjeJó szórakozást az adáshoz, és ha tetszik, kérlek⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠támogasd a Filmklub podcastot a Patreonon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, egy dollár is nagy segítség! Ha a Patreon túl macerás, támogathatod a podcastot a PayPalon (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@ferencv1976⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠) vagy a Revoluton (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@ferenc7drh⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠) keresztül is. Nagyon köszönöm!

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)

FAI creation is an essential element of quality control programs but can consume a significant amount of time. In this webinar, we will discuss a tool that consolidates all requirements into an accountability checklist, keeping drawing and inspection sheets in sync. Automatically capture sheet and zone and identify Bill of Materials (BOM) and specifications for a complete and accurate report. This software exports a professional ballooned print as a PDF and can output to your customized Excel spreadsheet. In this session, we'll go over how to reduce quality escapes that occur from overlooking requirements. Failing results are flagged in real-time and any missing required FAIR AS9102 data is also flagged for compliance to the standard. Easily renumber balloon sequencing and change between Imperial and Metric units as required by your customers. Learn how to seamlessly import your CMM data to validate each result and easily flag non-conformances. Use any CMM in your shop to create result data and automatically populate the Designed Tooling. The tool we discuss will assist you in keeping up with the growing prevalence of 3D modeling in manufacturing. Using the Product Manufacturing Information (PMI) of the model, this software extracts the geometry and notes from the model to create views with ballooned data and exports to the inspection sheet. In this webinar, you will learn how to: Error-proof each FAI for accuracy and customer approval. Eliminate the need for manual data entry. Use your CMM output to populate FAI actuals. Address your customer's requirement for MBD. PRESENTER: Jeffrey C. Davis Account Manager DISCUS Software Presented by DISCUS  Visit https://advancedmanufacturing.org/webinars for more webinars and an interactive experience with visuals.

Et si on pouvait prédire la fuite de ses clients ou une possible fraude ?Alexandre Pasquio est le CEO et cofondateur de Neuralk AI. Sa startup s'attaque à un angle mort de l'intelligence artificielle : les données tabulaires des entreprises, CRM, ERP ou fichiers Excel. Après un doctorat en neurosciences à l'INRIA, Alexandre lance Neuralk en 2023.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Your Quick Tip arsenal gets a serious upgrade this week: use the Live Text button to make scanning QR codes easier, resurrect Apple Mail’s Predicted Mailbox when it mysteriously grays out, and run softwareupdate –history in Terminal to see every macOS update your Mac has ever installed. You’ll also hear how one listener’s Shortcuts automation fixes AirPods auto-play, why BBEdit is your secret weapon for editing Excel formulas and tailing log files, and how Safari’s Show Reader option strips the junk from cluttered pages — plus a bonus riff on the real trade-offs between convenience, privacy, and the content you actually want. And yes, Siri AI in the iOS 27 betas is finally impressing people, with real-world examples to prove it. Then Dave Hamilton and Adam Christianson dig into your questions: why Safari drops website connections (and how ping helps you diagnose it), whether those archive drives sitting in your drawer need regular care (spoiler: don’t get caught trusting a single backup you never spin up), and the smartest path for migrating your custom email domain from Google Workspace to iCloud. You’ll also get the scoop on replacing the aging Paperless app before Rosetta vanishes with macOS 28, and a challenge worth taking: get your AI out of the chat window and into doing actual work for you. Press play, take notes, and Don’t Get Caught. 00:00:00 Mac Geek Gab 1152 for Monday, July 27th, 2026 July 27th: Gary Gygax Day MGG Monthly Giveaway – Win a license to Mole Quick Tips 00:00:01 Todd-QT-Use the Live Text button to make QR codes easier 00:06:43 Steve-QT-Using Apple Mail’s Predicted Mailbox Bonus QT: Connect your inbox to your favorite LLM (via an MCP Connector?) and ask it “please tell me the ten most important emails requiring my action today.” 00:09:55 Stephen-Some of Siri AI’s improvements in the iOS 27 betas 00:17:54 Mike-QT-1151-Solve AirPods auto-play issues with Shortcuts 00:19:15 Craig-QT-Use ‘softwareupdate –history’ to see every macOS update your Mac’s ever done. Adam's Safe Download Version for XProtect 00:22:41 Mike-QT-You can still buy StyleWriter II cartridges at Staples! 00:24:11 Todd-QT-1151-Edit Excel Formulas in BBEdit 00:25:47 Kiwi Graham-QT-View log tails with BBEdit 00:29:01 Andy-QT-Use Safari’s “Show Reader” option to force reader view And a bonus conversation about the balance between convenience, privacy, and the entertainment we want Sponsors 00:38:18 SPONSOR: Private Internet Access VPN – Save 83% off your VPN service PLUS four free months with a two-year plan at https://PIAVPN.com/mgg. 00:39:32 SPONSOR: Decagon. Ready to transform your customer support? Decagon helps companies create personalized, concierge-style customer experiences with AI agents across chat, email, voice, and SMS. Go to https://decagon.ai/MGG to get a personalized demo and see what Decagon can do for your team. 00:40:59 SPONSOR: BBEdit, the power tool for text from Bare Bones Software; now with integrated Notebooks and extended language support. https://www.barebones.com/products/bbedit/ Your Questions Answered and Tips Shared! 00:42:17 David-Why does Safari drop website connections? ping -t 5 website.com 00:51:44 Using location to help deliver content 00:54:15 GW-Do I need to care for my archive drives? 01:02:30 Jonathan-How do I migrate my email domain from GSuite to iCloud? 01:09:45 Kim-Which Paperless replacement and migration path are you using? macOS loses Rosetta in 2027 with macOS 28 softwareupdate –install-rosetta 01:16:03 Get out of Chat with your AI 01:18:51 MGG 1152 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 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:

Rebecca from Zellers Painting already hit last year's total sales with months left on the calendar — she's basically doubled the business. But growth exposed the cracks: estimating that isn't dialed in, a brand-new salesperson she can't cleanly hand pricing to, and a $200K operation still being run off an Excel sheet.In this live Business Breakthrough, Tanner walks her through the fixes: using production rates and square-footage pricing (validated by consistent job costing), why the two biggest levers in any business are money and time, and the exact system stack to get her out of the weeds — Quo for phone and missed-call auto-responses, Slack for team communication, and DripJobs job scheduling for visibility and automatic customer updates.If you're a contractor who's growing fast and feeling your systems start to break, this one's a blueprint.⏱️ Chapters00:00 The two biggest levers: money & time01:22 Meet Rebecca — Zellers Painting02:45 The estimating problem after hiring a salesperson04:30 Production rates & square-footage pricing06:45 Job costing: how to know your pricing is right10:00 What else isn't systemized? The real bottleneck12:00 Running a $200K business on a spreadsheet14:45 Why visibility is a lever (the schedule = your money)17:55 Fix your phone: Quo & missed-call auto-responder19:40 Slack + CompanyCam for team communication22:00 Order of operations & the referral to Aiden23:30 Letting go of control: the leadership shiftCoaching Session Signup: https://calendly.com/dripjobs/breakthroughPurchase the 31 Days of Value and build an EMPIRE: https://www.amazon.com/31-Days-Value-home-service-businesses/dp/B0FQSH32X7Spotify: https://open.spotify.com/show/2v0D0SNSBofqJJE6zApEE1DripJobs Demo: https://calendly.com/dripjobsteam/dripjobsdemoGusto: https://gusto.com/i/tanner269OpenPhone: https://openph.one/referral/8Kc17aqFacebook Group: https://www.facebook.com/groups/173750747824373/?ref=shareFollow me on Instagram: http://Instagram.com/officialtannermullen#roofing #roofingbusiness #contractormarketing #localseo #roofingcontractor #homeservices #businessgrowth

In this conversation, J.D. spends some time with Chan Kwak. If you know anything about the city of Compton, CA, you would never imagine a Korean child who was brought to the United States in the middle of the night by his parents would plant a church and reach that diverse community—his story of perseverance and dedication to sharing the gospel with whoever would listen will inspire you when you hear it.Originally Posted July 15, 2024Send us Fan MailWe want to help you find your next steps in ministry.Connect here with EXCEL. 

Descubre más en https://imaginbank.pwlnk.io/TUP y date de alta con el código TUP50 para conseguir un cupón de 50€ para la Shop Facilitea de imagin.Con imagin puedes aprender sobre ahorro e inversión con imaginAcademy y acceder a diferentes opciones de inversión, todo desde una única app.¿Quieres el Excel que usamos para trackear ingresos y gastos? Envíanos la palabra "Excel" por mensaje directo a nuestro Instagram: https://www.instagram.com/tengounplanpodcast/ 

In this episode, we sit down with Andy, a clinician working across both Physiotherapy and Strength & Conditioning, to unpack how he plans and progresses rehabilitation once the clinical picture is clear.   Andy has over 15 years' experience working within the performance and sports medicine space. His career has spanned teams, individuals, and private-sector clients — ranging from developing youth and collegiate athletes through to Olympic/Paralympic and Professional levels. Andy has a passion for high-performance and sports medicine, with extended interests into leadership, marketing, and wider health and wellness. He thrives working in dynamic, forward-thinking MDT environments and enjoys contributing to the ambitions of athletes and organisations alike.   We chat with Andy about: - How Andy plans out his rehabilitation once he has the required clinical information- What Andy means by "co-actives"- How to determine rehab objectives and the "ladder of loading"- How to avoid getting lost in Excel spreadsheets — collating information into an organised format- How to balance field and gym demands, and whose role that is- Working collaboratively across the medical and performance departments- Understanding pathology, and how to plan and adjust accordingly- Planning while staying flexible based on athlete response- Managing risk in rehabilitation — the return to high-speed or high-force demands- How much information to share with the athlete — thinking not "when" the athlete will be ready, but "how" the athlete will be ready- What Game Plan is, and how it can help clinicians   Do you want to go deeper with your rehabilitation skills? Explore the full library of practical sports physios and rehabilitation-based masterclasses for all your CPD/ CEU needs with a free 7 day limited access trial. https://sportsmap.com.au/masterclass-library/ Watch the full podcast on YouTube: https://www.youtube.com/watch?v=1jEhmDDPReM

Live from the GEOINT 2026 Symposium in Denver, Colorado, Project Geospatial's Adam Simmons catches up with Rich Cinquegrana, Senior AI/ML Engineer at TekSynap.Bringing deep expertise from NGA's Project Maven, Rich breaks down how TekSynap is reshaping software architecture for the federal government. He explains the power of Model-Based Systems Engineering (MBSE)—shifting agencies away from clunky, static Microsoft Office files and Vizio diagrams into dynamic, object-oriented software environments that maximize object reuse, clarify cross-program dependencies, and streamline workflow automation.Watch the interview to get an inside look at TekSynap's "TechAccelerate Lab" sandbox (powered by the TekSynap Foundry), where engineers are actively mocking up AI development and imagery capture pipelines. Rich details how they test for adversarial spoofing to ensure a trusted chain of custody for warfighter intelligence data, all while keeping a close eye on maximizing taxpayer value.Key Highlights in this Video:00:00:43 – Meet Rich Cinquegrana and learn about his background in systems engineering and AI/ML architecture.00:01:03 – What is Model-Based Systems Engineering (MBSE)? Moving the government past Microsoft Word, PowerPoint, and Excel.00:01:43 – Object Reuse & Dependency Mapping: Driving extreme efficiency in programmatic workflows.00:02:20 – Inside the TechAccelerate Lab: TekSynap's R&D unit and customer sandbox environment.00:02:45 – Lessons from NGA's Project Maven: Designing secure AI pipeline models to defeat adversary spoofing.00:04:19 – Unveiling the TekSynap Foundry: The building blocks powering their core technology suite.00:05:21 – A Focus on Fiscal Responsibility: Balancing cutting-edge geospatial capability with smart taxpayer spending.00:06:05 – Using MBSE to weather budget cuts and continuing resolutions through modular roadmaps.Learn More About TekSynap:

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)

This week we learned of OpenAI's Jailbreak security breach, which opens the door to many new issues with enterprise AI and HR 2030. This week, following up on the introduction of SHL's Superworker AI assessment, I dig into the implications of this new AI behavior and discuss the five major “skills” or capabilities we need to build AI mastery among business users. As you'll hear, AI Agents are both powerful and useful, but our human skills in problem solving, collaboration, and risk awareness are now becoming critical for success. New research also shows that even AI forward deployed engineers need deeper skills in business, stakeholder management, and risk analysis than we ever realized. As you listen to this if you need help with our own AI business capabilities please contact us. Galileo and the new GHRE masterclass certification program are designed to quickly give you and your team the experience and skills you need to flourish in this new world of AI, agents, and Superwork. Additional Information OpenAI says its AI went rogue and launched ‘unprecedented' cyber-attack The Josh Bersin Institute, HR 2030, And The Global HR Excellence Certification Our New Book: Superpowered®, coming this Fall.     Chapters (00:00:00) - The Need for AI Safety(00:03:22) - What are the Skills required to Excel in the AI Era?(00:12:09) - Agile AI and its Agentic HR(00:15:47) - Galileo: New version coming soon, and more

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)

Season 7 of the Randomizer kicks off with all three SYTYCT finalists (Alex Cupps, Tony Squares, and PPR Tyler) each get 18 rounds with 18 randmizer prompts. Cupps weasels out of an Excel lesson, Squares gets bartender and Squarespace bits, and PPR Tyler closes it out with an HR job interview roleplay.

How can architects expand their role upstream in project decision-making, and what happens when live massing, area data, and cost metrics replace fragmented, slow feasibility workflows?In this episode of Practice Disrupted, host Evelyn Lee explores what it takes for architecture practices to show up earlier with clients, entering the room before the brief is fixed and the budget is locked. She is joined by Brad Sara, Principal and Digital Services Lead, and Anton Shaw, Senior Associate, BIM Manager, and Automation Lead at Warren and Mahoney (WAM), a 70-year-old practice named one of the 10 most innovative architecture firms in the world by Fast Company. Together, they discuss how WAM developed Quick Stack, a feasibility playbook enabled by Arcol that brings real-time cost, area, and zoning metrics directly into massing models.Brad and Anton unpack the traditional friction of early feasibility phases, where teams constantly cycle through disconnected tools like SketchUp or Rhino, Excel spreadsheets, and InDesign reports. This fragmented workflow creates version drift, manual data errors, and delayed answers during fast-paced client negotiations. By implementing Arcol within WAM's "One Studio" approach, connecting 350 staff across offices in New Zealand and Australia, the firm enables live, single-environment updates. The moment a design or massing shape changes, the numbers update instantly for the entire team and client.The discussion dives into the business and relationship benefits of swimming upstream. Brad and Anton share how co-designing live with clients and cost consultants builds deep trust, eliminates the traditional "starving artist" dynamic, and enables WAM to generate fees for pre-concept feasibility work they previously couldn't capture. "Architects don't need to become developers. They don't need to become cost consultants or software companies. But we do need to become more fluent in the decisions our clients are making before that project becomes a project." - Brad SaraThey also share practical advice on change management, explaining how targeted rollouts, solving real workflow pain points, and letting computers handle tedious tasks allow architects to focus on strategic judgment and design quality.Guests:Brad Sara is a Principal and Digital Services Lead at Warren and Mahoney. Over a two-decade career spanning New Zealand, Australia, the UAE, Asia, and the US, he has advocated for digital transformation and strategic client partnerships across all stages of project delivery.Anton Shaw is a Senior Associate, BIM Manager, and Automation Lead at Warren and Mahoney. With a background in technical delivery, he specializes in building internal systems, automation workflows, and digital tools that improve project efficiency and overall design quality.This episode is especially for you if:✅You want to learn how Warren and Mahoney uses ArcOL and Quick Stack to unify massing models, area metrics, and cost data in one live environment.✅You are interested in "swimming upstream" to engage clients earlier during site selection and pro forma testing before project briefs are locked.✅You want to explore how live, collaborative feasibility sessions build deep client trust and unlock new revenue streams for early-stage design services.✅You want practical change management strategies for introducing new technology into multi-office practices without causing friction or tool fatigue.✅You want to eliminate manual data entry, version drift, and slow iteration loops between modeling software, spreadsheets, and design presentations.What have you done to take action lately? Share your reflections with us on social and join the conversation.

Matt Sigala, Director of Asset Management at SkySpecs, joins to discuss blade inspection data, repair vendor management, and carbon fiber repairs. Sign up now for Uptime Tech News, our weekly newsletter on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on YouTube, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us! Allen Hall 2025: Matt, welcome to the program. Greatly appreciate it. So Matt Sagala has not been on the Uptime Wind Energy podcast. Although he’s been asked for the last five or six years to be on, he has had other commitments. So now that he’s available to be on the podcast, we love having him here. Uh, if you don’t know Matt Sagala, Matt Sagala is a, a real special talent in wind. Very knowledgeable about repairs. He’s a composites person, but he, you know, it’s one thing to know composites and understand what that looks like, but also to run organizations that repair blades and manage blades and take care of large quantities of blades and do it very efficiently, where the assets are actually working and operating efficiently is hard to do. So, uh, [00:01:00] Matt is now with SkySpecs in a recent change from a, a large global wind operator, and he’s come over to SkySpecs as Director of Asset Management. So Matt, congratulations first. Appreciate  Matt Sigala: it. Appreciate it.  Allen Hall 2025: So that’s a, that’s a big title there. What does that all mean, Director of Asset Management at SkySpecs?  Matt Sigala: basically, it’s just the overview of your entire asset from the start of the inspections to the reviewing of, of the inspections, to creating the RFP, going out to blade budgets and repairs, uh, and then having the actual repair teams on site and us being able to help execute those repairs in a systematic way, um, without having to overload or, or burden your, your internal, uh, systems in-house. Allen Hall 2025: Because as an operator, there’s a lot on your plate.  Matt Sigala: Yes.  Allen Hall 2025: And a lot of operators don’t necessarily have blade teams internally. You came from an organization- Yeah … that did have a really good, still does have a really good blade organization.  Matt Sigala: Oh, amazing, yeah.  Allen Hall 2025: Yeah. Uh, that was unique, but a lot of operators in the United States or globally just don’t have [00:02:00] that resource. SkySpecs has developed that resource over the last couple of years of we’re blade experts, we have all the data coming in, but we can also help you downstream when it comes to maintaining and repairing blades, which is, is sort of a new feature for- Yeah … SkySpecs. Now that you’re there and you’re seeing all the data, all the, the,  the- the, data center, so to speak, of w- and you have access to blades globally, and you can put your fingers on it. What are you seeing out there in terms of blade health and, and going forward?  Matt Sigala: There’s a lot of work. There’s definitely a lot of work upcoming and into the future. Um, and you know, I think a lot of it could be risk-based with, with inspections, annual inspections, semi-an-annual inspections. I think that’s always the first line of defense on any blade management c- campaign. Um, and then, you know, coming behind that, I think that’s where our preferred vendor lists and, uh, you know, being comfortable with working with certain suppliers on certain type of repairs. Um, we feel that, you know, we have an edge on the industry, [00:03:00] uh, with the data set that we have in hand, plus being able to build a relationship with ISPs. And not only build a relationship with them, but be able to continuously give them mindful insight to their repairs from a year now to two years now. Because we’re the only ones really seeing those inspections and the repairs after they’ve been in operation for more than a year. It’s very rare that a, an ISP, uh, even on my side of the house when I was working with EDF, of being able to see a repair from year to year. Um, I think that’s, that’s, that’s pretty massive and- Yeah … a lot of value within that, so.  Allen Hall 2025: Oh, sure. Uh, you were one of the first ones when I met you years ago now, uh, that was a big proponent of more inspection. Yeah. That there are some blades in which you must inspect more.  Matt Sigala: Yes.  Allen Hall 2025: And here’s the reason why. Matt Sigala: Yeah.  Allen Hall 2025: Because you had thought through it a little bit and you’d come up with a plan. So you always had a plan. That’s one thing about Sagales, he always has a plan. You can ask him any question, he’s got a plan in relationship to blades. And you were the, you were the one that has said, “Hey, uh, there are certain blade types out there that we have seen that, well, you need to do a [00:04:00] little more inspection, and there are some others that it’s totally fine.” Yeah. A, a yearly inspection is, is, is fine. Well enough. And that SkySpecs data, now that you have access to it, is that also f- feeding back into your- Definitely … logic of that?  Matt Sigala: Yeah, yeah. How do you, how do you think about it? No, it’s, it’s, it’s opened my mind a lot kinda getting me out of just being in, like, the trenches of certain decisions and being able to see this whole data set as a whole now. Uh, and holistically, it’s like, all right, m- there’s just certain things that I kinda need to adjust on my end. Um, definitely letting a lot of things just play out for, uh, this repair season and, and how things are running, and then kinda looking to make some changes into, into ’27. Um, but the data set, it’s, it’s amazing. It’s, it’s almost over- overwhelming. Um, so just kinda going after- the low-hanging fruit as far as, like, the 62 twos, the 145s, and really understanding what those look like, uh, how we can help our customers  Allen Hall 2025: that’s a large part of the fleet in the States, but globally too. SkySpecs has made a lot of, uh, recent advancements into, uh, certain marketplaces outside the US. Mm-hmm. I won’t go into the specifics there, [00:05:00] but e- essentially, like, SkySpecs is becoming definitely more of a global company than a US-based company. Uh, and seeing turbines from outside the US, so you see a, a GE or a Vestas turbine operating in Germany or in the UK, and you see the same turbine in the States. They’re not- No … performing the same, are they? No. It’s a completely different- Same turbine.  Matt Sigala: Yeah, different wind regimes, erosion characteristics, crack propagation rates, everything. Even we were seeing major, you know, differences from the West Coast to, to central Iowa with the same type of platform. So you can only imagine, you know, start going from a, a larger scale on, on the globe,  Allen Hall 2025: So you’re ac- because you have access to the data now, does that change the way you think about Blade management. Matt Sigala: Yes. I-  Allen Hall 2025: in terms of when to, when to inspect, when to repair, or just leave it. Are you able to have clear definition of the variables that go into that equation?  Matt Sigala: Definitely so. and I think that’s the key to it. It’s, it’s, we- we’re really stepping away from that blanket approach of inspections where you [00:06:00] do have your baseline inspection, but after that you start getting into the granulars of, okay, you know, this site has X amount of the 622Ps or whatever they are, uh, we need to inspect more on, on a biannual or semi-annual inspection. Um, and then we have, you know, certain turbines, like you said, that we, we touch once a year and it’s kind of just, just let it go. But, um, no, it’s, it’s very site specific, um, on- Allen Hall 2025: That’s what I’m wondering … on- Is it how, how site specific is it? Very, very,  Matt Sigala: very site specific.  Allen Hall 2025: Really? Yeah. It’s- So like, uh, is Central Iowa is different than Central Kansas-  Matt Sigala: Eh Allen Hall 2025: in a sense, or is it more broader spread than that? It can  Matt Sigala: get a little bit broader spread, but then we start looking into s- serial numbers for manufacturers, issues. Okay, are we seeing a certain batch that was released out and it’s in, you know, the northern part of Iowa or half the park? And so that’s what we’re really getting down to now is like serial batch issues and, and trying to track that across the region. Allen Hall 2025: SkySpecs has been trying to use more AI over the last- Yes … six months to a year. Is that helping to sort through some of that data?  Matt Sigala: Yeah, it’s accelerating it. Uh, definitely it’s not like the, uh, [00:07:00] all end answer, but it’s definitely, it’s, it’s-  Allen Hall 2025: So you’re not just thumbing through Excel spreadsheets- Yeah, no and looking at them one by one, you can actually use some, a little bit of  Matt Sigala: AI to- A little bit … to sort it. Yeah, Yeah, sort it out, get a high, high res summary, and then being able to kind of like pinpoint where we wanna go from there on it and, and dive in. But still, you know, AI hallucinates and, and does its thing. Oh, sure. And so we, we just, we wanna tread carefully with it, but making sure it’s clean,  Allen Hall 2025: a sanity check, right? Yeah, exactly. While you’re there, a sanity check, like does that make sense? Exactly. Oh, okay. Exactly. Let’s, let’s scrape it again. Okay. So that’s a huge advantage, and I, I know on the repair vendor management side- Yeah which has been a, an effort over the last year or two from SkySpecs, is to, uh, work with the ISPs and make sure that they’re doing the repairs properly and they’re vetted and they’re trained. Yes. That’s been a big effort in- internally in SkySpecs for a little while. Bringing you on really ramps that up in terms of the, the horsepower that SkySpecs can apply to that. Yeah. Where are you going on that, uh, repair vendor management and the ISPs and the data that comes from, from [00:08:00] all of that side of the business, you know, opposite of the inspection side?  Matt Sigala: Yeah, so with RVM, you know, my end goal is, is to have a preferred vendor list of contractors within SkySpecs. And I’m more thinking of them as like a toolbox of not just it being a crescent wrench, it’s more of, okay, this ISP is good for bulk LEP installation. This ISP is good for Vestas wrinkles, you know, within the max cord. And, and so I think that’s where what I’m trying to, to map out now is, is kind of put everyone within their right socket place of, uh, where they belong in the toolbox- Sh- sh- sh- … and how I can be able to utilize them. And then actually from there, um, seeing what the bandwidth is. And I think that’s like the real catch is being able to get- The right teams on site quickly, you know, when, when you run into those situations, and safely.  Allen Hall 2025: Yeah, because it’s hard. If you call up an ISP and say, “Can you come fix my leading edge problem?” No. Pretty much the answer’s always yes. Yeah, yeah. Right? But you need a little bit of a sanity check there. Can they really do it when they got twel- 12 crews out right now? They only have 13, [00:09:00] so probably can’t do it right now. Yeah,  Matt Sigala: exactly.  Allen Hall 2025: That’s where SkySpecs can help sort that out a bit.  Matt Sigala: Yeah, you know, on the QAQC side of things with, like, LEP where you- do your 10 meters or 12 meters of, uh, LEP installation, and you’re trying to take a picture of 12 meters or, or 10 meters of, of LEP installation both, on both sides. And so the reports are subpar. I think that they’re good enough, but what I’d like to start implementing is being able to have a, a post-installation inspection after the turbines have been running for three days to a week. Let’s refly, you know, the leading edges and get an idea of how the actual installation quality was. Uh, ’cause I- in my opinion, you know, anything within the LEP that there’s a defect, it’s gonna pop up within that first two weeks of operation. Yeah. I think that’s something where we can capitalize on making the ISPs get back on that blade, fix it before they get offsite, and have prevent remob and, and such.  Allen Hall 2025: Ooh, that’s a good idea. Yeah. Because a lot of times they’re demobed, they’re down at the next wind farm- Yep … or maybe in another state, and it’s, like, too late to get them back there to, to touch up. To touch  Matt Sigala: up.  Allen Hall 2025: Exactly. To do [00:10:00] minor work usually. Yeah. Uh, it’s usually m- not major stuff. It tends to be minor stuff, but to catch it- Yeah is really important. So the Horizon system that, uh, an existing SkySpecs, uh, customer uses is, there’s a lot to it, right? Yeah, yeah. So there’s, there’s many branches to this tree. One of them is repair vendor management. Uh, obviously another one’s inspection and the, and one of those growth branches is solar. Matt Sigala: Yes.  Allen Hall 2025: Uh, what is the movement on solar within SkySpecs and repair vendor management? Is that something you guys are working on? Uh, and what, what is the plan for solar? Yes.  Matt Sigala: It’s the, the same approach as RVM, um, where, you know, solar-wise, we, we still wanna be able to, you know, step in and then be that middleman of being able to inspect, be able to get your asset back up and running with, our preferred vendors, you know, and, uh, just have a more smoother, systematic approach to, to the, the maintenance side of the solar s- side of things. I think [00:11:00] we’re, the blades, we got an early start on it from 2016, 2017 timeframe, so we’re, you know, well 10 years into this. Uh, and I think we’re at the point where, like, solar starts n- need to catch up, and I think SkySpecs has a, a big headstart on that.  Allen Hall 2025: Yeah. Just even on the inspection side, although, uh, solar inspections have been happening for quite a while- Yeah the, the quality has varied quite a bit.  Matt Sigala: Yeah. The, the amount of data, uh, that I’ve, I’ve been learning is it’s, it’s- … 2, 3X compared to, to, you know, what we’re pulling off off blades. Um, and so- Oh,  Allen Hall 2025: sure …  Matt Sigala: there’s t- tons more, you know, solar data that needs to be captured and, uh, processed.  Allen Hall 2025: Thermal imaging.  Matt Sigala: Thermal imaging. A bunch of  Allen Hall 2025: that, right,  Matt Sigala: inverters. Top of the panel, bottom of the panel. Right. Yeah. Um, so that’s where I’m seeing a lot more, uh, data management is needed on that side too. And, and  Allen Hall 2025: the, the vendor management of, of that tends to be a little more of l- the Wild West, in my opinion. Yes. ‘Cause the ISPs and wind, there’s a competency to it, and there’s a lot of training- Yeah to do those things. To be a composite repair technician, you generally have to take- Some training, be out in, in the real world working for a couple of years- Yep … before you become competent at it. Solar doesn’t tend to be that way.  Matt Sigala: No, [00:12:00] no. They’re very, they’re very John Wayne, I guess, like you said, the Wild West- Yeah of, of, of, of it. But, um- Yeah, it has to  Allen Hall 2025: move fast.  Matt Sigala: It does, and I think that’s where, you know, SkySpecs can really help step in, uh, and be that technical bridge between the financials and the technical, and being able to safely execute, you know, uh, replacements, repairs, et cetera on, uh, on the, the solar side of things.  Allen Hall 2025: Let me ask you a couple questions- Okay … about carbon fiber. Okay. Because I would be remiss to, to let you go without talking- … about carbon fiber, because it comes up a lot in discussions we have at Weather Guard- Yeah, definitely … with operators, be like, “I’ve got these carbon fiber blades. I don’t really have a good track record of repairing them.” Matt Sigala: Yes.  Allen Hall 2025: Or, the repair is complex and I really can’t find an ISP that knows what to do there. What are some of those repair inspection issues with carbon blades that may differ from your standard fiberglass blades that we’re all used to?  Matt Sigala: Uh, it really depends on where the carbon’s at. So if, you know, we’re talking about a spar cap, um, you know, with unidirectional fibers being- A pultrusion Pultrusion. [00:13:00] Um, you know, the, the repairs are, are becoming more and more trickier, uh, mostly when you start in- introducing oil ingestion to a lot of these turbines that have carbon. you know, we’re, we’re having to take a lot more steps in, in the repair process, in making sure that we’re executing the repair properly. And then another thing that w- you know, with the carbon that will– seems to be an issue, uh, on the procurement side is being able to order, uh, you know, the right GSM UD directional prepreg carbon and, and being able to get that in the, into the field, um, just because it requires freezers and, and everything else. There’s, there’s a couple more steps to, to the prepregs. But, Carbon loves lightning.  Allen Hall 2025: It does.  Matt Sigala: It’s, it’s unfortunate. Yeah. But, you know, it’s, it’s, it’s, uh, a, a whole different repair process, to be honest.  Allen Hall 2025: Well, that’s what I’m hearing- Yeah … is that a lot of operators don’t want to touch it, especially if it’s in a pultrusion form. Yes. If it is a hand layup carbon fiber structure, uh, from the OEM, that’s a little different than if I had this preformed, uh, all unidirectional-[00:14:00] Plank … y- Yeah, this kind of brick- Yeah … uh, of, of carbon. That’s hard to kinda grind into and get the layers back like you want to. Is it really repairable? I- and, and it’s in a sense, like is it repairable uptower or is it a downtower thing? Matt Sigala: Um, no. The majority of the repairs… So I like to think of it if you got your… You break your blade into three sections. You got your max chord, your midspan, and your tip. Yeah. Uh, midspan tip, we, we can get away with uptower carbon fiber repairs.  Allen Hall 2025: Okay.  Matt Sigala: they do require aviation skillset as far as- Yeah … um, hot bonders being able- Okay to pull your vacuums. And, and it’s… The big thing with the carbon prepreg is that you have to get above 80 C, and you’re more into the 140 C, 160 C, and you’re letting it heat soak for, for quite some time. Yeah. And that’s where you need those aviation style hot bonders and being able to get up there because alternately, it’s, it’s you’re having to soak the carbon at 80 C for six hours or eight hours, a little bit longer to, to get that full, full cook. Um, and so that’s why right now I think there’s only a [00:15:00] very few qualified vendors out there, um, to do the carbon fiber repairs. it’s, it’s something that’s trainable. It’s not black magic. Um- No … it’s, it just takes time. It’s a different technician skillset. You go from reading layers and seeing your biaxials and UDs when you’re, when you’re grinding, to the carbon fiber, it’s all one layer. It’s all black. Uh, so you, you’re, you’re more using y- uh, micrometer, and you’re, you’re taking your GSM of what your glass you’re gonna replace it with. You’re micing it. Okay, this is four thousandths or whatever, and then you ki- okay, now I’m like at 16 thousandths, X amount of layers, and now let’s go back. And so it’s, it’s, it just takes time. It’s a process. It takes  Allen Hall 2025: a lot more time-  Matt Sigala: Yeah …  Allen Hall 2025: for sure. A lot. It- does that then lend itself to more training and qualification verification on, on the skillsets that’s out on site? Which is one of the things that repair vendor management at SkySpecs does, right? Definitely. You, you’re, you’re- clocking each technician of what their skill set is. So if you see a guy out there that only has fiberglass repair, but they’re [00:16:00] working on a pultrusion repair, that’s sort of a red flag- Red flag,  Matt Sigala: yeah …  Allen Hall 2025: in SkySpecs,  Matt Sigala: right? Definitely. Yeah, definitely. Or not try- Well, understand the process, where they’re coming from. Did it, was it an approved re- repair plan? Um, and a lot of these sites too, like I said, where, you know, they can’t get prepregded carbon, so we’re, they’re using, you know, GSM 600 UD fiberglass on- Right … some of these repairs.  Allen Hall 2025: Yeah.  Matt Sigala: Um, which is not ideal. Not perfect. Yeah. Um, but, uh, if, if you gotta get the turbine up in operation, it’s understandable.  Allen Hall 2025: Oh, sure. Yeah. So what are the other big things that you’re seeing out there today? ‘Cause there’s a lot of work going on. There’s a lot of repower work going. A  Matt Sigala: lot of repower work. the whole 80/20, uh, right now, that’s kinda what I’m trying to understand is, uh- which companies are out there actually, uh, replacing blades, or is it just a gearbox generator, uh, repower, you know, where, where is the money need to be spent. Um, and then trying to understand, too, like the, uh, LEP, um, installations, VD- VG installations, uh, being able to get those on top of, uh, the repowers I think is, is a massive win.  Allen Hall 2025: [00:17:00] Yeah. I, I, we have seen a lot more, uh, leading edge repair over the last two years, uh, mostly c- because of the, the changes in the law. Also, VG’s going on. Mm-hmm. Which you didn’t necessarily see, especially like three or four years ago. Yeah. You would occasionally see it because operators know they get some more power. Matt Sigala: Yeah.  Allen Hall 2025: Are, you’re seeing more of that just to get to that 80 percentile threshold- Threshold … on, on, on the starting the tax credits over again Are you guys involved in, on some of the advice, uh- Yes … how to go do that? Because I know a lot of operators, like VGs make sense to me, but I don’t know anything about them. I’m not an aerodynamicist. Yeah. Just, Matt, does this make sense to go do? Is, is that some of the conversations you’ve been involved with?  Matt Sigala: Yeah, we’re getting there. Like I said, I’ve only been here for a month now, but, but- Oh, come  Allen Hall 2025: on …  Matt Sigala: yeah, the con- 30  Allen Hall 2025: days is plenty.  Matt Sigala: The, uh, the conversations are definitely there. and that’s something that we’re actually looking at in- in house and how we can partner up with, you know, s- certain assets out there that, that can, you know, feed a little bit more data into us. It’s creating like a, an aero packet of being able to- Mm … [00:18:00] install leading edge protection and then apply a VG, and then get yourself out of that neutral area and get you actually making the additional 1.4% energy or, you know- It’s a lot of money. Yeah, it is. In the- end, it’s, you know, times these massive fleets, it can add up pretty quickly.  Allen Hall 2025: What’s your feeling on instrumentation of blades today? Are, are there blades that you, yes, you must be putting some sort of instrumentation on it. I’m thinking about, uh, root inserts is a big problem. Yeah. There’s some cracks on certain blades that seem to be almost ubiquitous. And then, uh, there’s, there’s some blades that, you know, just seem to keep turning. Are, are you thinking about how SkySpecs gets data into the system? Are you starting to recommend, like, “Hey, uh, we definitely need to put some sensors out there to monitor this crack and just to watch it grow instead of yearly may not be enough”? Or, or is the drone inspection enough? Or you’re, are, are you thinking about vibration sensors? How, what are you thinking about in terms of blades? Yeah, there’s  Matt Sigala: definitely, definitely a need for, for sensors on certain [00:19:00]turbines. Um, I think at some point the visual inspections aren’t, aren’t enough, even on, uh, you know, quarterly. Um, I’d still feel that a, a visual inspection, uh, you know, 30, 40% of the story. Uh, and then after that, you know, you’re kinda having to either internal inspections or getting hands-on inspection type situation. But, um, it’s more the financials of going out and having to reinspect the blade. If you’re continuously inspecting the blade, it’s, it’s almost easier to have the sensors on. Uh, but it’s- The lack of data to put those sensors on to actually have, you know, good feedback is, it’s-  Allen Hall 2025: Well, that- that’s one of the things I was thinking about SkySpecs not long ago is because you touch so many blades- Yeah … it, it may make sense that SkySpecs maybe runs a couple of test sites. Like, we’re gonna put sensors on some of these blades to see how this crack progresses, because I’ve seen it in Illinois, in Kansas, in Oklahoma. If I, me, SkySpecs, have a data set that says, “This is how it progresses,” that could make sense. Yeah. Because you, what you would hate to see is, like, every [00:20:00] operator be doing the same thing over and over and over again. Exactly. Trying to learn the same lesson, where SkySpecs can be a focal point in that. Yeah. Matt Sigala: No, I think that’s, that’s, uh, something that we, we could be working towards. Um, it’s definitely, you know, not in, in the making right now, but, um, some of this, you know, data keeps coming towards us. It’s, it’s something that we wanna, you know, stay sticky with, so.  Allen Hall 2025: Yeah. And, uh, let’s, let’s go back to the, the repair vendor management side. Mm-hmm. Uh, I know talking to you before the move to SkySpecs that you had tracked Every technician in terms of their efficiency, the quality of the work, how they… And beyond that, like- Yeah … how they work with others. Do they show up on time?  Matt Sigala: Yeah.  Allen Hall 2025: Is that part of the thought process coming into the larger scale Horizon SkySpecs system is we need to be measuring things than just did they finish the turbine and move on? Matt Sigala: Exactly.  Allen Hall 2025: Is, is, is that gonna be, you see more of that, you think-  Sigala: Yeah …  Allen Hall 2025: over the next couple of  Matt Sigala: years? I think it’s, it’s gonna be very, you know, ad hoc with each individual customer on, on what type of, you know, data they wanna track, but it’s literally [00:21:00] just a switch within Horizon to turn that on if, if, uh-  Allen Hall 2025: Wow, I, I, if I’m an operator, I’m 100% turning that on. Matt Sigala: Yeah. No, and I think it’s more of, uh, it helps the ISPs because the technicians know that their names are actually tied to it rather than them just going in there and doing a report, and we kinda get to see who they are at the end of it, so.  Allen Hall 2025: Yeah.  Matt Sigala: Um- ‘ Allen Hall 2025: Cause there’s a big boon to technicians. Oh, massive. If you’re a good technician, man, you can get a lot of street credibility because you’ve demonstrated it time and time again, and you have a- Yeah a, a whole data set that says, “Hey, I know what I’m doing.” Mm-hmm. “You should be hiring me.”  Matt Sigala: Yeah.  Allen Hall 2025: That’s extremely valuable.  Matt Sigala: That’s something I, I push to the technicians even when I was on the other side of the house where, you know, doing interviews for hiring technicians. W- we’d ask, like, “Do you have a, a, a portfolio? Like, you’re asking for X amount of money, like, you should have something to show for.” Some pictures. Pictures, previous repairs, you know. Start, s- definitely recommending to the technicians to-  Allen Hall 2025: Yeah …  Matt Sigala: you know, build a portfolio for yourself ’cause it’s, it speaks more than a resume at times. It’s a  Allen Hall 2025: profession. Matt Sigala: It is, yeah. You  Allen Hall 2025: need to treat it as a profession. Yeah. It’s a  Matt Sigala: skill- It’s not  Allen Hall 2025: just a job …  Matt Sigala: yeah, a skilled trade, so.  Allen Hall 2025: It, [00:22:00] it, it really is, especially now as- Yeah … as we get into more carbon and complex blade designs, and everything’s just getting more advanced than ever. Yeah. You’d have to have that skill set. Matt Sigala: Yeah. And I think it takes at least a minimum of three years to become a, a good blade repair technician or any type of technician in general. Like, you know, first year you’re learning. Second year is imposter syndrome, and third year you’re finally kinda getting into the groove of things and, and making some decisions. So, um, and mostly, you know, hanging on a 5/16 cable, you know, 180 feet off the ground. Um, it, it takes a lotta, lotta training and development with those technicians, and just finding the right mindset right off the bat. It’s, like, the first thing that we look for.  Allen Hall 2025: So what are the things that operators should know going into this repair season and in towards, you know, inspection season, which will start in a couple of months? What should they be thinking about going forward here based on what you know now, now you’ve been on the data side of it?  Matt Sigala: There’s a lot of work coming. There’s a lot of work to be distributed out there, uh, across all of our, our customers. Um, [00:23:00] but there’s a, a massive lack of quality, uh, within the ISPs. Um, and like, like I said, I think it’s not due to the It’s like, I think majority of it’s due to the rapid expansion of, you know, the volume needed for, for repair teams, and it’s constantly growing each year. And, um, you know, these owners are being pushed a little bit harder to, to spin up these teams to, to get out there. Um, biggest thing is just, you know, taking care of the little steps, you know, making sure all your lines are drawn out on the blade. Like, that’s the stuff that I really see- … our engineers, you know, on, on the q- uh, quality side two or three. Um, marking is just, you know, minimal stuff to where it doesn’t paint the full picture of the repair on the blade report, and so that’s why we’re raising the flags. Um, it’s not that they’re just going out generally and doing bad repairs. It’s just, like, the little steps in between. I think that’s what we’re kinda, like, focusing on. other than that, just being safe. You know, these, these guys are, are, are, uh, like I said, hanging up on the, on those ropes or cables and, um, you know, making sure that, you know, they get home safe is, is w- our [00:24:00] biggest thing at the end of the day, too. It’s not only just getting the repairs done, but having the ROI, but it’s making sure that those technicians can, can have a, a safe job to come and go to and, uh, you know, be there, so. Allen Hall 2025: Well, it’s, I’m sure SkySpecs is thrilled to have you. At least everybody I’ve talked to at SkySpecs is thrilled to have you there, and it’s like y- you’re plugging in this really knowledgeable person into this massive data set. And when you combine those two, you know, it’s, it’s squared. It’s not double, you know? Yeah. It, it’s, it’s gonna really help SkySpecs out a lot, and I’m super happy for you. I think this is the right s- position for you to be, and eventually, like, you just gain so much knowledge. You-  Matt Sigala: Definitely.  Allen Hall 2025: You’re just one of those guys that you, you just think, “Man, Matt knows so much.” And if you haven’t talked to Matt Sagala, or you haven’t talked to SkySpecs, or maybe you are in SkySpecs, you’re in the Horizon system, and you just haven’t turned on the repair vendor management, now is the time to do that. Matt Sigala: Definitely.  Allen Hall 2025: Matt is a powerhouse here. He can help you, and the, and the whole team at SkySpecs. There’s a lot of people behind the scenes- Oh, [00:25:00] tons … that are- Yeah … are making this thing go. How do they get ahold of you, Matt? Do they go to LinkedIn or-  Matt Sigala: LinkedIn, yeah. Um, or I can, you know, drop my, my email address with you, and you can put it up there. But, uh, yeah, don’t hesitate. Reach out, or if you see me around- … um, you know, give me a call. Grab  Allen Hall 2025: him.  Matt Sigala: Yeah. Grab  Allen Hall 2025: me. If you see Matt, grab him. Yes, Matt, it’s so great to have you on the podcast. We’ve been trying so long to do this, so it’s, it’s great to have you here.  Matt Sigala: Likewise. No, this was fun. Greatly appreciate it.

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

Freight companies face increasing pressure to adopt AI, but which technology is actually working on the road? This episode examines critical findings from ground-level freight operations, revealing why Excel remains the dominant tool despite digital transformation efforts, and why data quality, not AI sophistication, remains the biggest bottleneck constraining freight efficiency. Joining tech journalist Jason Del Rey are Dr. Angi Acocella, Research Scientist in the FreightLab at the MIT Center for Transportation and Logistics, and David Gal, Vice President of Product and Engineering for Connected Equipment at Samsara, on a panel held at Samsara Beyond 2026 in Las Vegas. The conversation explores practical solutions shaping the freight industry today, including Bluetooth-enabled tracking labels for high-value shipments and how AI-powered geofencing is improving driver safety without replacing human oversight. From dynamic pricing mechanisms to how forward-thinking carriers are using AI agents to augment driver performance, this episode reveals what freight leaders should actually be investing in and where to be cautious.

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   

What does a top venture investor think about AI's impact on accounting, and what should finance professionals actually do about it?In this episode of Blood, Sweat & Balance Sheets, FloQast CEO Mike Whitmire sits down with Roy Luo, General Partner at ICONIQ Capital — an investor in Anthropic, Snowflake, Databricks, and Stripe — to break down what the AI wave really means for the accounting profession.They cover:Why accounting is facing a talent shortage that AI is uniquely positioned to solveHow the shift to AI mirrors the Excel revolution — and what that means for your careerThe concept of "token rationing" and why accounting departments may be last in line for AI resourcesWhy founders with product intuition are better positioned to navigate paradigm shiftsWhat it means to be a trusted partner vs. a vendor in the age of AIWhether you're a controller, CFO, or just trying to future-proof your career, this conversation offers a rare outside-in perspective on where the profession is heading.

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)

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)

What does it take to go from struggling on the showroom floor to becoming one of the highest-volume Toyota sales professionals in the country? "You've got to stop coloring in the lines. You've got to stop doing what everybody else is doing." - Sean V. Bradley In this episode of the Millionaire Car Salesman Podcast, Sean V. Bradley sits down with Dimitri Azatov, a nationally recognized Toyota fleet manager who built an extraordinary career by thinking far beyond traditional retail sales. "Well, yeah, when you're just selling 12, 15 cars, that wasn't enough. And I'm not one of those people that, okay, so I'm making whatever few grand that's enough." - Dimitri Azatov You'll hear how Dimitri transformed his approach by developing strong relationships with auto brokers, pursuing business and commercial clients, and creating opportunities to sell multiple vehicles through a single transaction. He also breaks down the importance of resilience, strategic outreach, personal branding, and using technology to operate more efficiently. "Instead of it only being Dimitri making phone calls, trying to put deals together, Demetri is creating an entire network of auto brokers strategically." - Sean V. Bradley Discover how fleet sales can open new revenue channels, why the right partnerships can dramatically increase volume, and how tools like personal websites and artificial intelligence can strengthen your credibility and streamline your daily operations. This episode will challenge you to stop relying solely on showroom traffic, think bigger about your market, and start creating more opportunities for yourself! Key Takeaways: ✅ Strategic Targeting: Dimitri focuses on businesses instead of individual buyers, allowing for sales of multiple units per contract. ✅ Network of Brokers: Building a network of auto brokers extends sales reach and significantly increases car sales volume. ✅ Utilizing Technology: Dimitri uses personal websites and AI tools, highlighting the importance of tech in modern car sales. ✅ Learning and Adapting: Studying top performers like Cody Carter can provide valuable insights for success in automotive sales. ✅ Perseverance Pays Off: Dimitri's journey demonstrates the power of resilience and innovation in overcoming industry challenges.     About Dimitri Azatov Dimitri Azatov is a nationally recognized Toyota fleet sales professional known for his high-volume approach, broker relationships, and innovative use of technology. Born in the Republic of Georgia, Dimitri moved to the United States in 2002 and entered the automotive industry in 2007. After starting as a salesperson, he transitioned into fleet sales and built a business focused on brokers, companies, and multi-vehicle transactions. Today, Dimitri averages 80 to 90 new vehicles per month, has sold as many as 160 vehicles in a single month, and has ranked among Toyota's top 10 sales professionals nationwide. He continues to grow by embracing artificial intelligence, digital tools, and forward-thinking sales strategies.   How to Excel in Car Sales: Strategies for a Transformational Career in Automotive Sales Key Takeaways: Leverage partnerships with auto brokers and businesses to scale your car sales efforts. Understand the power of branding and strategic use of technology to streamline processes and maximize productivity. Shift from traditional methods to innovative approaches in sales to achieve remarkable success in car sales. Building Success Through Strategic Partnerships In the fiercely competitive world of car sales, a successful career hinges on the adoption of innovative strategies that transcend conventional practices. This insight is vividly demonstrated by Dimitri Azatov, an exceptional automotive sales professional, who has leveraged unique methodologies to elevate his career. As Dimitri explains, "Sean V. Bradley emphasized the significance of creating a network of auto brokers that assist in scaling sales efforts." By forming partnerships with auto brokers, Dimitri magnifies his sales ability beyond his individual capacity, thereby redefining the sales landscape. Auto brokers act as conduits between the dealership and prospective buyers, facilitating transactions that are beyond the reach of standard sales approaches. Dimitri mentions, "the broker, basically just the middleman… they bring the customers." This enables sales professionals to tap into a wider customer base with minimal effort, transforming their sales volume. Employing brokers is akin to enlisting a mercenary sales team that amplifies a salesperson's capacity. This model allows sales professionals to switch the focus from singular customer interactions to managing broader networks, thus paving the way for increased sales and revenue. Branding and Technology as Cornerstones of Success Dimitri's success is not only attributed to strategic partnerships but also deeply rooted in savvy marketing and the use of cutting-edge technology. Developing a personal brand is paramount, as indicated by the creation of a personal website—azatoff1.com—that serves to build credibility and acts as a referral point for business. A website is a crucial component for any sales professional striving to affirm their independent identity within a dealership. Dimitri elaborates, "I built it myself… it builds credibility." Today's car sales professionals can no longer rely solely on traditional approaches tailored to showroom sales. Leveraging technology, such as customer relationship management (CRM) tools and artificial intelligence (AI), provides immense benefits in streamlining operations and fulfilling customer needs expediently. Dimitri highlights the power of AI, "this AI SMS messaging that I have, that's probably like 80% helps me." Automating tasks through AI significantly relieves the burden of redundant activities, allowing salespeople to focus on value-generating activities. Furthermore, consistent engagement with prospective buyers and seamless follow-up processes offer the personalization customers anticipate in today's marketplace. Evolving from Traditional Sales Methods to Advanced Sales Strategies The automotive industry constantly evolves, necessitating that professionals in the field stay adept with emerging trends and expectations. As Sean V. Bradley frequently notes, the traditional "up bus" mentality—passively waiting for prospective buyers—is outdated and ineffective. Dimitri's journey shows how proactive strategies like targeting businesses and frequently engaging with brokers can substantially increase sales. His approach to engaging with businesses—a demographic requiring more than one vehicle—solidifies sales predictability and offers a contrasting dynamic versus individual retail customers. Dimitri provides invaluable advice to automotive sales professionals on the brink of reconsidering their career choice due to financial limitations. With strategic and innovative practices, it is conceivable to achieve substantial success in car sales. As Dimitri asserts, the business opportunities are plentiful, and sales professionals must capitalize on emerging sales models and networks to elevate their financial outcomes. His experiences offer a roadmap for aspiring sales professionals, encouraging them to deviate from the norm to explore novel avenues like utilizing customer analytics, venturing into AI personalization, and establishing strategic alliances.   Dimitri Azatov's journey underscores the importance of modernizing sales tactics and integrating technology into everyday processes within the automotive sales industry. Partnering with brokers, utilizing personal branding, and employing AI and CRM systems position sales professionals to thrive amidst ever-increasing industry demands and customer expectations. Such strategies are vital for transforming a stagnating sales career into a prosperous one. This meticulous narrative demonstrates the trajectory of a car salesperson who defies traditional norms, embraces innovation, and subsequently achieves unparalleled success. For those in the automotive industry, Dimitri's experiences reinforce that exceptional results are attainable with dedication, strategic foresight, and a relentless pursuit of excellence.       Resources + Our Proud Sponsors:   ➼ Podium: The AI Platform Powering the Modern Dealership. From instant lead response to seamless test drive scheduling, Podium's AI Employee Jerry works 24/7 to turn every lead into a conversion, so your team can focus on closing. Trusted by thousands of dealerships nationwide and proudly featured on the Millionaire Car Salesman Podcast. Learn how Podium can help you sell more cars, book more service appointments, and grow your dealership. Discover how Podium's innovative AI technology can unlock unparalleled efficiency and drive your dealership's sales to new heights. Visit www.podium.com/mcs to learn more!   ➼ The Millionaire Car Salesman Facebook Group: Join the #1 Automotive Sales Mastermind Facebook Group with over 29,000 automotive professionals worldwide. The Millionaire Car Salesman Facebook Group is the go-to community for car salespeople, BDC agents, sales managers, general managers, and dealer principals looking to increase performance, income, and leadership skills. Inside the group, members collaborate daily on automotive sales strategies, lead handling, phone scripts, closing techniques, CRM best practices, dealership leadership, and accountability systems. Learn directly from top automotive trainers, industry mentors, and high-performing sales leaders who are actively winning in today's market. If you're serious about growing your automotive career, increasing car sales, and building long-term success, join The Millionaire Car Salesman Facebook Group today!   ➼ Dealer Synergy: Dealer Synergy is the automotive industry's #1 Sales Training, Consulting, and Accountability Firm, with over 20 years of proven dealership success nationwide. We specialize in helping car dealerships increase sales, improve processes, and build high-performing Sales, Internet, and BDC departments from the ground up. Our expertise includes automotive phone scripts, rebuttals, CRM action plans, lead handling strategies, BDC workflows, Internet sales processes, management training, and accountability systems. Dealer Synergy partners directly with dealership leadership to align people, process, and technology, ensuring consistent results and scalable growth. From independent dealers to large dealer groups and OEM partnerships, Dealer Synergy delivers measurable performance improvements, stronger teams, and sustainable profitability.   ➼ Bradley On Demand: Bradley On Demand is the automotive industry's most advanced interactive training, tracking, testing, and certification platform for car dealerships — built to develop top-performing teams across Sales, Internet Sales, BDC, CRM, Phone Skills, Leadership, and Management. In addition to LIVE virtual automotive training classes and a library of 9,000+ on-demand dealership training modules, Bradley On Demand now includes AI Phone Roleplaying and Coaching to help salespeople and BDC agents practice real dealership conversations before they ever get on the phone with customers. This AI-powered roleplay technology strengthens phone scripts, objection handling, appointment setting, lead follow-up, and closing skills, while providing measurable coaching feedback for continuous improvement. Bradley On Demand empowers dealerships to train faster, coach smarter, improve call performance, increase closing ratios, and sell more cars more profitably — all through structured, trackable, modern automotive training.

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)

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.)