Podcasts about Excel

Chapters(00:00) - AI-Driven CEO Impersonator Scams (00:38) - WNBA Commissioner Controversy (07:04) - Standardizing Tech Stacks in Accounting Firms (13:06) - AI's Role in Accounting and Client Management (18:27) - IRS Shutdown and Economic Implications (25:49) - Fraud Stories and AI-Generated Scams (33:31) - Alternative CPA Pathways in California and New Jersey (34:32) - California's New CPA Pathways (35:45) - US News & World Report Rankings (37:38) - Tech Fundraising and Innovations (37:56) - Bill's Cybersecurity Awareness Month (40:33) - Dual Entry's $90 Million Series A (43:35) - AI and ERP Systems (50:58) - Avalara's AI Tax Compliance Agents (53:01) - Ignition's AI-Powered Pricing Tool (01:01:20) - Paycom's Layoffs and AI Automation (01:05:00) - Conclusion and Upcoming Events  Show NotesComing soon!Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet 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/OvercastWant 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 classified ad: https://cloudacctpod.link/RunClassifiedAdTranscriptsThe full transcript for this episode is available by clicking on the Transcript tab at the top of this page

Episode #231, I am excited to dive into the evolving world of AI with David Fortin on our latest episode! Yes, overall we are in an awkward phase of AI adoption. David and I focus primarily on how Microsoft Copilot is reshaping the landscape of workflows with so many elements now able to be connected; Outlook, PowerPoint, Excel, Teams meetings and file. We also talk about creating better AI prompts and the exciting future of Copilot's memory and persona features. Catch these insights and more in this episode! Full Episode Show Notes https://thepresentationpodcast.com/2025/e231 Show Suggestions? Questions for your Hosts? Email us at: info@thepresentationpodcast.com Listen and review on iTunes. Thanks! http://apple.co/1ROGCUq New Episodes 1st and 3rd Tuesday Every Month

Our 222st episode with a summary and discussion of last week's big AI news!Recorded on 10/03/2025Hosted by Andrey Kurenkov and co-hosted by Jon KrohnFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:(00:00:10) Intro / Banter(00:03:08) News Preview(00:03:56) Response to listener commentsTools & Apps(00:04:51) ChatGPT parent company OpenAI announces Sora 2 with AI video app(00:11:35) Anthropic releases Claude Sonnet 4.5 in latest bid for AI agents and coding supremacy | The Verge(00:22:25) Meta launches 'Vibes,' a short-form video feed of AI slop | TechCrunch(00:26:42) OpenAI launches ChatGPT Pulse to proactively write you morning briefs | TechCrunch(00:33:44) OpenAI rolls out safety routing system, parental controls on ChatGPT | TechCrunch(00:35:53) The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens - MarkTechPost(00:39:54) Microsoft just added AI agents to Word, Excel, and PowerPoint - how to use them | ZDNETApplications & Business(00:42:41) OpenAI takes on Google, Amazon with new agentic shopping system | TechCrunch(00:46:01) Exclusive: Mira Murati's Stealth AI Lab Launches Its First Product | WIRED(00:49:54) OpenAI is the world's most valuable private company after private stock sale | TechCrunch(00:53:07) Elon Musk's xAI accuses OpenAI of stealing trade secrets in new lawsuit | Technology | The Guardian(00:55:40) Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science | TechCrunchProjects & Open Source(00:58:26) [2509.16941] SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?Research & Advancements(01:01:28) [2509.17196] Evolution of Concepts in Language Model Pre-Training(01:05:36) [2509.19284] What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoTLighting round(01:09:37) [2507.02954] Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III(01:12:03) [2509.24552] Short window attention enables long-term memorizationPolicy & Safety(01:18:11) SB 53, the landmark AI transparency bill, is now law in California | The Verge(01:24:07) Elon Musk's xAI offers Grok to federal government for 42 cents | TechCrunch(01:25:23) Character.AI removes Disney characters from platform after studio issues warning(01:28:50) Spotify's Attempt to Fight AI Slop Falls on Its FaceSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us a textWhat does it really mean to be a "quant investor"? How do quantitative strategies fit into a modern portfolio? And what does it take to break into a quant investing career path?In this episode, we sat down with Stacie Mintz, Head of Quantitative Equity at PGIM (one of the world's largest asset managers, with $1.4tr in AUM). Stacie's team oversees $60bn in quantitative equity strategies, and she joins us to break down what quant investing is, how it differs from other investment philosophies, what the role of human oversight is relative to AI, and what skills are essential for breaking into the field.From factor investing and natural language processing to how quants think about risk and portfolio construction, this is a no-nonsense inside look at the world of systemic investing. We also do some myth busting work (spoiler alert: quant investing isn't just AI and algorithms gone wild), the evolving role of artificial intelligence, and why communication skills often matter just as much as your coding ability.Whether you're just starting out in your career or you're an investor trying to understand how systematic strategies complement traditional fundamental analysis, this conversation is a crash course in Quant Investing 101.For a 14 day FREE Trial of Macabacus, click HERE Access the free replay of the Masterclass here!Presale access for our newly launched Fixed Income self-paced course here: https://thewallstreetskinny.com/fixed-income-sales-trading-investing/#fixed-income-sales For 20% off Deleteme, use the code TWSS or click the link HERE! Sign up for our LIVE Virtual Bootcamps! 2-Day Financial Modeling Bootcamp Master the technical Excel and accounting skills essential for investment banking, private equity, and fundamental investing. (Learn more HERE) Global Markets & Investing PlaybookA one-day crash course on the financial ecosystem, perfect for anyone seeking a big-picture understanding of how global markets and Wall Street fit together. Our content is for informational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice. (Learn more HERE)

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Send us a textTwo days into a government shutdown, we break down what it actually means for markets when key data go dark—like today's missing non-farm payrolls—and how that uncertainty can ricochet through trading desks, air travel, the SEC/IPO pipeline, and year-end seasonals. We walk through the historical playbook (rates, dollar, risk) and how we're thinking about positioning when the Fed is flying with fewer instruments.Then we unpack the freshly announced largest-ever LBO and stack it up against 2007's TXU: equity checks vs. leverage, private credit's outsized role, and why a single-bank underwrite changes the risk map. We also separate real CLO mechanics from internet myth and ask the only question that matters: are we replaying '07—or writing a new script?Finally, Jen dives deeper into the growing conversation about moving the Fed's focus away from fed funds toward repo/GC-SOFR—what that shift would change and why it's gaining traction now. Housekeeping: our Fixed Income Sales & Trading self-paced course presale is live (Part 1: Bond Math now; Derivatives next; Macro/Relative Value after), live Financial Modeling Bootcamps run at the end of October, and Kristen's 3-Statement Modeling course targets late November. Bonus: we preview our interview with a $60B quant equities head on integrating systematic strategies into real portfolios. For a 14 day FREE Trial of Macabacus, click HERE Access the free replay of the Masterclass here!Presale access for our newly launched Fixed Income self-paced course here: https://thewallstreetskinny.com/fixed-income-sales-trading-investing/#fixed-income-sales For 20% off Deleteme, use the code TWSS or click the link HERE! Sign up for our LIVE Virtual Bootcamps! 2-Day Financial Modeling Bootcamp Master the technical Excel and accounting skills essential for investment banking, private equity, and fundamental investing. (Learn more HERE) Global Markets & Investing PlaybookA one-day crash course on the financial ecosystem, perfect for anyone seeking a big-picture understanding of how global markets and Wall Street fit together. Our content is for informational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice. (Learn more HERE)

What if the future of affordable, life-changing cell and gene therapies comes down to one critical yet often overlooked factor: manufacturing efficiency?In advanced therapy medicinal products (ATMPs), groundbreaking science abounds, but the path to the clinic is still strewn with bottlenecks, especially when it comes to cost, complexity, and safety. While the promise is enormous, most therapies remain out of reach for many patients due to high cost of goods and logistical hurdles. What can actually break down these barriers and democratize access?In this episode, David Brühlmann welcomes Lucas Chan, celebrated Fellow of the Royal Society of Biology, advisor to Singapore's Ministry of Health, and a true pioneer in viral vector manufacturing. In Singapore, he founded CellVec Pte Ltd – APAC's first regulatory accredited Viral Vector specialist CDMO.Lucas's leadership spans founding ventures in emerging markets to championing game-changing innovations in gene transfer, always with an eye toward efficiency, safety, and accessibility. Having returned “back to the bench” in collaboration with the National University of Singapore while launching his consultancy, Lucas brings both visionary perspective and hands-on experience to one of biotech's toughest challenges.Here are three reasons why you need to listen to this episode:Efficiency is Everything: Lucas dissects how complex processes and outdated manufacturing paradigms are driving up the cost of cell and gene therapies and shares real-world advances, from transitioning viral vector production to stable producer cell lines to the emergence of non-viral gene transfer modalities, that are poised to rewrite the rulebook on scalability and affordability.Leadership Amid Complexity: Learn from Lucas's top leadership advice drawn from his CSO and CDMO tenure: inspire teams by connecting every task to the larger mission. In a multidisciplinary, high-stakes environment, alignment and motivation aren't just nice, they're essential for innovation.Entrepreneurship and Community: Thinking of turning your biotech expertise into a startup? Lucas underscores the value of learning from others' journeys, collaboration, and the insight that “it takes a village” when translating advanced therapies from bench to bedside, especially in emerging markets with unique affordability challenges.Want to transform your approach to cell and gene therapy manufacturing or just need inspiration to push your biotech project to the next level?Tune into this episode for practical insights, candid leadership lessons, and a renewed sense of what's possible when we challenge the status quo together.Connect with Lucas Chan:LinkedIn: www.linkedin.com/in/lucaschangtNext step:Book a 20-minute call to help you get started on any questions you may have about bioprocessing analytics: https://bruehlmann-consulting.com/callPreparing for your IND? We're building a CMC Dashboard in Excel to help biotech founders track tasks, timelines, and risks in one place. Join the waitlist for early access at https://scale-your-impact.notion.site/27dd9c6ba679804b80a7ce439d56c91a?pvs=105

In this episode of The Entrepreneur Experiment, Gary Fox sits down with Ciara Troy, founder of Oishii Sushi, to uncover the 19-year journey of building Ireland's most recognisable sushi brand. From her first Saturday market in Greystones to supplying nationwide through Lidl, Aldi, Tesco, and Spar, Ciara shares the grit, resilience, and fearless naivety that kept her going through long days, cashflow struggles, and van deliveries at dawn. She opens up about the pivotal lessons learned along the way: from cutting sushi rolls by hand on chopping boards to investing in her first machines, from maxing out family credit cards to securing Enterprise Ireland support, and from nearly burning out to carving out “Mummy Mondays” to balance entrepreneurship with family life. If you're an aspiring founder or a food entrepreneur wondering how to scale a product from a kitchen table to a nationwide household brand, this episode is packed with raw insights, honest reflections, and the strategies Ciara used to grow Oishii from a tiny market stall to a 75-strong team serving fresh sushi across Ireland. Show Notes In this episode, we cover:

Swedish mountain bike royalty Anton Thelander is on the podcast! On this episode of The Ride Companion Anton talks about going from local skateparks and Sweden's MTB school to Red Bull Phenom, a 4th place at Joyride and a Rampage debut before suffering the effects of burnout. In this brutally honest conversation Anton opens up about Martin Söderström's mentorship, Canyon signing, that first Red Bull helmet reveal and the tough years. Anton opens up about depression, losing contracts, moving back home, and how he started rebuilding with therapy, movement, a new toolbox for his mind, and finally rediscovering riding during covid. Anton also talks about being back involved in slopestyle with a healthier relationship to the bike and a new purpose as a judge. He shares what judging actually looks like (the silhouette rule), why the trick economy is like learning Excel plus much more...  The Ride Companion Christmas Ride at BikePark Wales! Episode Sponsors:-  - WORX Tools → 15% off the full range with code THERIDECOMPANION: https://uk.worx.com - Hiplok → Head on over to http://hiplok.com/trc to claim your exclusive offer and keep YOUR bikes YOURS. - Pedros Tools → These are the best tools folks, no question. You can check out their range of bike specific torque tools, multitools and more at https://apex-dst.uk and use code theridecompanion for 15% off everything on site! Get early access & ad-free episodes → https://www.patreon.com/theridecompanion You can also support our long term partners: - Marin Bikes: marinbikes.com/gb - Focus Bikes: focus-bikes.com - HUEL: Get 15% OFF with code 'RIDE' at huel.com/ - Hiplok: https://hiplok.com/the-ride-companion  - Play Fantasy Downhill at The Race Companion: theracecompanion.com instagram.com/theracecompanion - Get 10% off Troy Lee Designs with code 'theridecompanion' at saddleback.avln.me/c/OzduCWvjtcOr - Athletic Greens: Get a FREE 1-year supply of Vitamin D AND 5 FREE travel packs at athleticgreens.com/RIDECOMPANION - Compex: Get 20% off with code ‘THERIDECOMPANION' at compex.com/uk/ - Worx: Get 15% off with code ‘THERIDECOMPANION' at worx.com - LAKA: Get 30 days of FREE insurance with code ‘RIDECOMPANION30' at laka.co - HKT Products: Use code ‘PODCAST' for 10% off the entire site. Follow Olly Wilkins Instagram @odub_23 YouTube @owilkins23 The Ride Companion Instagram @theridecompanion YouTube @TheRideCompanion YouTube clips and BTS channel @moreridecompanion Get official Ride Companion merch, find old episodes and more theridecompanion.co.uk

What happens when NYC properties drop 30-50% in value and investors can buy buildings for less than the debt—and how do you know when a construction boom signals the market top? In this continuation episode, Dylan Vaccaro reveals how regulatory pressure and investor flight have created unprecedented opportunities in New York City real estate. He explains his "crane theory" for identifying market tops—when you see maximum construction activity in an established city, it's usually time to stop building and start preparing for the downturn. Dylan shares insights about buying properties in bank workout situations, why rent stabilization makes NYC attractive for contrarian investors, and discusses the role of luck versus skill in generational wealth building. The conversation shifts to Angel's mobile home community development in Waco, exploring exit strategies at various completion stages, before concluding with Dylan's AI-powered solution that reduces underwriting time from 2-3 hours to 10-15 minutes. [00:01 - 07:00] NYC Market Opportunities in Distressed Times How regulatory pressure drove prices down 30-50% creating buying opportunities Why Dylan buys most NYC deals under the debt in bank workout situations The contrarian thesis: when everyone zigs, you should zag [07:01 - 12:00] Timing, Luck, and Generational Wealth Why "the worst developers who time the market right will seem like geniuses" How "the harder I work, the luckier I get" creates opportunities The importance of staying power through economic cycles [12:01 - 18:00] The Crane Theory and Development Timing How maximum crane activity in established cities signals market tops Why building through recessions can position you perfectly for recovery The 2008 lesson: when building becomes too obvious, reassess [18:01 - 24:00] Mobile Home Community Development Angel's 104-pad Waco project near Amazon facility and top school district Multiple exit strategies: sell at drawings, roadways, or fully developed Why resident-owned homes create 10+ year tenancies vs. 18-month park-owned turnover [24:01 - 26:30] AI-Powered Underwriting Solution How DealQueue reduces underwriting time from 2-3 hours to 10-15 minutes Solving the data parsing pain point from PDFs, Excel, and handwritten notes Why this problem resonates "across the board" from beginners to professionals Connect with Dylan: https://www.linkedin.com/in/dylan-vaccaro-4450b9140/ Key Quotes:  "The worst developers who time the market right and get lucky in an upscale market will seem like geniuses. But even the best developers in a downward market will seem like a fool." - Dylan Vaccaro Visit sponsorcloud.io/contact today and unlock $2,000 of free services exclusively for REI Rocks community members! Get automated syndication and investor relationship management tools to save time and money. Mention your part of the REI Rocks community for exclusive offers. Help make affordable, low-cost education summits possible. Check out Sponsor Cloud today!  

In this episode, hosts Paul Barnhurst and Glenn Hopper discuss the realities behind the AI hype cycle and how it's playing out in finance, from inflated ROI expectations to unscalable AI tools and organizational chaos, Paul and Glenn unpack what's working, what's failing, and why so many companies are stuck. With no guest this week, the duo shares their honest takes on the state of AI, its practical limits in financial workflows, and how companies are fumbling both bottom-up adoption and top-down implementation. This one's a mix of hot takes, technical insight, and just enough despair to keep things real.In this episode, you will discover:How bottom-up AI adoption is outpacing executive-led rollouts in finance.The problem with inflated expectations and what's really causing AI project failures.Why Excel tools powered by AI are promising, but limited by context windows.How governance and data issues are crippling enterprise AI strategies.What OpenAI, Oracle, Nvidia, and Microsoft's latest moves mean for the AI landscape.AI isn't a magic solution; it's a powerful tool that still depends on good data, realistic goals, and a bit of patience. Paul and Glenn make it clear that while the hype is loud, real progress takes thoughtful implementation and education. The future of AI in finance looks promising, but only for teams willing to do the work.Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[01:56] - AI Hype Cycle Meltdown[04:50] - AI Tools in Excel[07:33] - Bottom-Up vs Top-Down Adoption[11:33] - Why AI Projects Fail[14:38] - Change Management Gaps[17:23] - Context Window Limitations[20:30] - Learn the Basics of AI[23:11] - Oracle, Nvidia & OpenAI Deals[30:07] - Microsoft Adds Anthropic to Copilot[34:24] - Copilot Improvement & Wrap-Up

All the headline's from Amazon's fall hardware event. Daniel Ek is stepping back from Spotify. A new Claude model. ChatGPT gets into the shopping biz. And OpenAI is likely launching it's own TikTok clone soon to feature AI videos. And new buzzword alert! Microsoft wants you to start “vibe working.” Amazon announces new Kindle Scribes, including one with a color screen (The Verge) Amazon Revamps Echo Speakers, Displays in Hardware Reboot (Bloomberg) Spotify Founder Daniel Ek Leaving CEO Job (WSJ) Anthropic launches Claude Sonnet 4.5, its best AI model for coding (TechCrunch) Etsy pops 16% as OpenAI announces ChatGPT Instant Checkout for the shopping site (CNBC) OpenAI Is Preparing to Launch a Social App for AI-Generated Videos (Wired) Microsoft launches ‘vibe working' in Excel and Word (The Verge) Learn more about your ad choices. Visit megaphone.fm/adchoices

Is this the AI agent we've all been waiting for?

In September 1985, Microsoft introduced Excel, an electronic spreadsheet program that revolutionised the way we organise and analyse data.With its grid of rows and columns, it allows users to sort information, do calculations, and make charts with ease. Today it is used worldwide.Spreadsheets might have a reputation for being dull, but this story features space tourists, knitting, and crazy competitions.Mike Koss, an American software developer who played a key role in Excel's creation, shares his fascinating story with Gill Kearsley.Eye-witness accounts brought to life by archive. Witness History is for those fascinated by 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 the death of Adolf Hitler, the first spacewalk and the making of the movie Jaws, to celebrity tortoise Lonesome George, the Kobe earthquake and the invention of superglue. We look at the lives of some of the most famous leaders, artists, scientists and personalities in history, including: Eva Peron – Argentina's Evita; President Ronald Reagan and his famous ‘tear down this wall' speech; Thomas Keneally on why he wrote Schindler's List; and Jacques Derrida, France's ‘rock star' philosopher. You can learn all about fascinating and surprising stories, such as the civil rights swimming protest; the disastrous D-Day rehearsal; and the death of one of the world's oldest languages.(Photo: Microsoft Excel logo. Credit: Thomas Trutschel/Photothek via Getty Images)

Defensive lineman Calais Campbell is four games into his 18th NFL season and still playing at a high level. Craig Grialou, Paul Calvisi, and former Cardinals linebacker Lorenzo Alexander break down Campbell's early impact, including his three sacks and four tackles for loss. They also discuss the team's sixth-ranked scoring defense, what the offense needs to improve, and how Marvin Harrison Jr. is building momentum after a strong fourth quarter against the Seahawks last week.See omnystudio.com/listener for privacy information.

The episode starts with the passage of California's groundbreaking AI transparency law, marking the first legislation in the United States that mandates large AI companies to disclose their safety protocols and provide whistleblower protections. This law applies to major AI labs like OpenAI, Anthropic, and Google DeepMind, requiring them to report critical safety incidents to California's Office of Emergency Services and ensure safety for communities while promoting AI growth. This regulation is a clear signal that the compliance wave surrounding AI is real, with California leading the charge in shaping the future of AI governance.The second story delves into a new cybersecurity risk in the form of the first known malicious Model Context Protocol (MCP) server discovered in the wild. A rogue npm package, "postmark-mcp," was found to be forwarding email data to an external address, exposing sensitive communications. This incident raises concerns about the security of software supply chains and highlights how highly trusted systems like MCP servers are being exploited. Service providers are urged to be vigilant, as this attack marks the emergence of a new vulnerability within increasingly complex software environments.Moving to Microsoft, the company is revamping its Marketplace to introduce stricter partner rules and enhanced discoverability for partner solutions. Microsoft's new initiative, Intune for MSPs, aims to address the needs of managed service providers who have long struggled with multi-tenancy management. Additionally, the company's new "Agent Mode" in Excel and Word promises to streamline productivity by automating tasks but has raised concerns over its accuracy. Despite the potential, Microsoft's tightening ecosystem requires careful navigation for both customers and partners, with compliance and risk management being central to successful engagement.Finally, Broadcom's decision to end support for VMware vSphere 7 has left customers with difficult decisions. As part of Broadcom's transition to a subscription-based model, customers face either costly upgrades, cloud migrations, or reliance on third-party support. Gartner predicts that a significant number of VMware customers will migrate to the cloud in the coming years, and this shift presents a valuable opportunity for service providers to act as trusted advisors in guiding clients through the transition. For those who can manage the complexity of this migration, there's a once-in-a-generation opportunity to capture long-term customer loyalty. Three things to know today00:00 California Enacts Nation's First AI Transparency Law, Mandating Safety Disclosures and Whistleblower Protections05:25 First Malicious MCP Server Discovered, Exposing Email Data and Raising New Software Supply Chain Fears07:16 Microsoft's New Playbook: Stricter Marketplace, Finally Some MSP Love, and AI That's Right Only Half the Time11:07 VMware Customers Face Subscription Shift, Rising Cloud Moves, and Risky Alternatives as Broadcom Ends vSphere 7 This is the Business of Tech.   Supported by: https://scalepad.com/dave/https://mailprotector.com/ Webinar:  https://bit.ly/msprmail All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Viral vectors are the backbone of cutting-edge cell and gene therapies, delivering life-altering treatments to patients with genetic diseases. But making these biological delivery vehicles is a high-wire act: unpredictable, complex, and fraught with hurdles that traditional biologics manufacturers have never faced.While the world races toward next-generation therapies, the challenge of producing viral vectors at clinical and commercial scale threatens to leave patients waiting on the sidelines.Our guest on the Smart Biotech Scientist Podcast is Lucas Chan, a molecular and cell biologist with over two decades of hands-on experience in cell and gene therapy development. From his formative research at Imperial College London, where he pioneered novel viral vector cell lines, to building the UK's first GMP clinical viral vector core and later founding CellVec Pte Ltd Asia Pacific CDMO in Singapore, Lucas is the go-to architect for manufacturing viral vectors where infrastructure barely exists.Along the way, he's faced and overcome challenges few others could imagine.Here are three reasons this episode is a must-listen:Viral Vectors Demystified: Lucas breaks down a common misconception: viral vectors aren't malignant viruses, but genetically disarmed delivery vehicles that can't revert or replicate, making them safe tools for gene therapy.Manufacturing Mayhem Made Manageable: Unlike monoclonal antibodies and other biologics, viral vectors (and other cell and gene therapies) are made in living cells, leading to a level of process unpredictability and complexity where “everything, everywhere, all at once” applies. Success hinges on scientific acumen and attention to even the smallest detail, from raw materials to equipment parameters, to ensure patient safety and product quality.Pioneering in Uncharted Territory: Moving from London to Singapore, Lucas faced not just technical but regulatory and logistical challenges to founding Asia-Pacific's first CDMO dedicated to viral vectors. His advice: engage regulators early, leverage local biomanufacturing strengths, and build multidisciplinary teams to transfer and scale bioprocess know-how.Curious how viral vector manufacturing can be reimagined to unlock the full promise of cell and gene therapies? Listen to this episode and gain unique insights into the science, strategy, and sheer determination needed to bring advanced therapies out of the lab and into the clinic.Connect with Lucas Chan:LinkedIn: www.linkedin.com/in/lucaschangtNext step:Book a 20-minute call to help you get started on any questions you may have about bioprocessing analytics: https://bruehlmann-consulting.com/callPreparing for your IND? We're building a CMC Dashboard in Excel to help biotech founders track tasks, timelines, and risks in one place. Join the waitlist for early access at https://scale-your-impact.notion.site/27dd9c6ba679804b80a7ce439d56c91a?pvs=105

Cloudflare launcht AI Index für effizienteres Web-Crawling und Content-Lizenzierung. OpenAI startet Agentic Commerce Protocol mit Stripe, Shopify und Etsy. Microsoft kündigt "Vibe Working" mit Excel-Agenten an. Anthropic veröffentlicht Claude Sonnet 4.5 mit Coding-Benchmark-Rekord. Meta, Google und Nvidia arbeiten an World Models für Robotik. OpenAI führt Parental Controls für Teenager ein. Black Forest Labs strebt 4-Milliarden-Bewertung an. Northern Data von Polizei durchsucht. YouTube zahlt 25 Millionen an Trump.  Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) TED Talk Wien (00:06:39) Cloudflare AI Index (00:17:30) World Models Entwicklung (00:21:42) Claude Sonnet 4.5 Coding (00:24:42) OpenAI Parental Controls (00:31:12) OpenAI Commerce Protocol (00:47:29) Microsoft Vibe Working (00:55:56) YouTube zahlt Trump (00:57:39) Epstein Files Update (01:01:41) Northern Data  (01:03:58) Rezolve AI (01:10:16) Black Forest Labs 4 Mrd. Shownotes Ein KI-Index für alle Cloudflare Kunden – blog.cloudflare.com Cloudflare geht gegen Google KI-Übersichten vor – businessinsider.com KI-Gruppen setzen auf Weltmodelle im Rennen um 'Superintelligenz' – ft.com Einführung von Claude Sonnet 4.5 Anthropic – anthropic.com OpenAI führt Sicherheitskontrollen für Teenager-ChatGPT-Nutzer ein. – wired.com OpenAI plant, ChatGPT zur Werbeplattform zu machen. – martech.org Etsy steigt um 16%: ChatGPT Instant Checkout für die Einkaufsseite – cnbc.com OpenAI und Stripe revolutionieren Online-Handel – x.com Pressemitteilung: Google und PayPal schließen mehrjährige Partnerschaft ab – newsroom.paypal-corp.com Microsoft führt 'Vibe Working' in Excel und Word ein – theverge.com Exklusiv: YouTube zahlt $24,5 Millionen zur Beilegung der Trump-Klage – wsj.com Musk, Thiel und Bannon in Epstein-Dokumenten genannt – axios.com Doge – wired Europäische Ermittler durchsuchen Northern Data Büros wegen Steuerbetrugsvorwürfen, vier Festnahmen – datacenterdynamics.com Rezolve AI: Vorwürfe der Umsatzübertreibung und KI-Fähigkeiten – morningstar.com Rezolve AI: ARR durch Übernahme gescheiterter Start-ups fälschen; CEO mit fragwürdiger Historie – fuzzypandaresearch.com Abhör-App Neon verriet alles: Offline – heise.de Deutsches KI-Start-up in Finanzierungsverhandlungen bei 4 Mrd. $ Bewertung – ft.com

Die Zürcher Stadtverwaltung nutzt Microsoft Programme wie Word, Excel oder aber auch die Microsoft Cloud. Weil bei der Nutzung dieses virtuellen Speicherortes der Datenschutz aber nicht gewährleistet sei, fordert die Alternative Liste nun, dass die Stadt ganz darauf verzichtet. Weitere Themen: · Wegen geplanter Neutralitätsinitiative: Kantons- und Gemeinderat Bernhard im Oberdorf tritt per sofort aus der Zürcher SVP aus. · Am Montagmittag wurde ein 12 jähriges Mädchen bei einem Unfall schwer verletzt. · Die Stadtpolizei hat am Sonntag einen bewaffneten Mann festgenommen. In seiner Wohnung wahren mehrere Armbrüste.

AI Daily Rundown: September 29, 2025: Your daily briefing on the real world business impact of AIListen at https://podcasts.apple.com/us/podcast/ai-daily-news-rundown-microsoft-launches-vibe-working/id1684415169?i=1000729192565

Send me a messageIn this week's episode of the Sustainable Supply Chain Podcast, I sit down with Dag Calafell, Director of Technology Innovation at MCA Connect, to explore how data and digital tools are reshaping manufacturing and supply chains. With more than 25 years of experience in steel and automotive, Dag has seen first-hand how waste creeps into processes, and how technology can help eliminate it.We dig into why so many organisations are still running core planning on Excel, and what happens when companies move beyond disconnected systems towards true data visibility. Dag explains how AI, IoT, and smart sourcing agents can transform supplier relationships, reduce risk, and embed sustainability directly into day-to-day decision making. He shares striking examples, from a food manufacturer wasting energy on unnecessary refrigerated transport, to a materials producer that boosted forecast accuracy by 60% and cut excess inventory by nearly a third.The conversation also touches on lean principles, the power of continuous improvement, and the role of executive alignment in setting measurable goals for carbon reduction. We talk about future supply chain models too, whether lights-out factories, robotics, or distributed manufacturing networks that reduce transport emissions.For supply chain leaders, the takeaway is clear: sustainability is inseparable from efficiency. When you collect the right data, apply the right tools, and commit to improvement, you not only cut costs and boost resilience, you reduce your environmental footprint at the same time.Listen in for practical lessons and forward-looking insights that can help your organisation modernise, decarbonise, and stay competitive in an increasingly complex supply chain landscape.Elevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.Podcast supportersI'd like to sincerely thank this podcast's generous Subscribers: Alicia Farag Kieran Ognev And remember you too can become a Sustainable Supply Chain+ subscriber - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to the full back catalog of over 460 episodes.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

Sala de vacinas na prática: formando excelência em imunização no Brasi | #podcast #empreendedorismo #podcastbrasil

Paid just closed an oversubscribed $21.6 million seed round led by Lightspeed. With the €10 million pre-seed round it raised in March, London-based Paid has already raised $33.3 million and hasn't even hit its Series A yet. A source familiar with the deal says the startup's valuation is over $100 million. Also, despite millions spent on financial software, many finance teams still rely on Excel to close their books and reconcile numbers while preparing them for audit. Two former Microsoft executives view it as a problem — and they have started Maximor to replace spreadsheets with AI agents for the grunt work finance teams perform. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Send us a textThis week on The Skinny on Wall Street, Kristin and Jen tackle three headlines where markets and policy collide. First up: Trump's call to shift public companies from quarterly to semi-annual earnings reporting. We lay out the real trade-offs—less bureaucracy and “short-termism” pressure for management vs. reduced transparency, potential for more volatility, and what this could mean for big-cap names vs. smaller issuers.Next, we unpack Trump's proposed H-1B changes, a steep annual sponsorship fee that could reshape hiring in finance, tech, medicine, and research. We talk through how global banks might reroute talent via L-1 transfers, who really feels the pinch (startups, hospitals, universities), whether this raises wages or just pushes more roles offshore, and what it means for students eyeing Wall Street.Finally, Jen explains why some Fed voices want to de-emphasize the Fed funds rate in favor of repo/GC/SOFR, the rates tied to real collateralized cash flows that transmit policy into markets every day. Plus: don't miss our free live Fixed Income, Sales & Trading + Markets Masterclass on Tuesday, September 30 at 12:00 PM ET—with live Q&A, special announcements, a giveaway for live attendees, and a 48-hour replay. Grab your spot HEREFor a 14 day FREE Trial of Macabacus, click HERE Sign up for the Fixed Income Sales & Trading Masterclass HERE For 20% off Deleteme, use the code TWSS or click the link HERE! Sign up for our LIVE Virtual Bootcamps! 2-Day Financial Modeling Bootcamp Master the technical Excel and accounting skills essential for investment banking, private equity, and fundamental investing. (Learn more HERE) Global Markets & Investing PlaybookA one-day crash course on the financial ecosystem, perfect for anyone seeking a big-picture understanding of how global markets and Wall Street fit together. Our content is for informational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice. (Learn more HERE)

Join Zach Peterson as he speaks with Sasan Hashemi, founder and CEO of Tset, about revolutionizing product cost management in electronics manufacturing. Discover how modern companies are moving beyond Excel spreadsheets to sophisticated data-driven platforms that integrate technical, commercial, and market data for comprehensive total cost of ownership analysis. In this insightful conversation, Sasan explains how Tset's platform combines internal data from PLM and ERP systems with external market intelligence from partners like Nexar to provide a complete 360-degree view of product costs. Learn about the challenges of managing carbon footprint calculations, supply chain risk quantification, and the future of AI-powered cost analysis in manufacturing.

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Will Ross, Co-Founder & CEO of Federato, and if you're an underwriting transformation leader—drowning in Excel, stale pilots, and disconnected data sources—this episode is for you. Will Ross isn't here to sell you hype. He's here to show what it looks like when AI actually delivers: faster quotes, better decisions, happier underwriters, and measurable results before the next board meeting. KEY TAKEAWAYS Thinking back to when Amazon released the Echo with Alexa and a bunch of us bought them and took them apart to figure out how it worked reminds me of how Wild West the early days of AI was a decade and a half ago. Now any undergraduate student taking computer science will have some exposure to AI. One of the first things they might learn is how to do simple tasks like that on very little computational resource. I love jumping into our products like that to understand how they work. Break down what AI means: There's an idea of intelligence or grasping a concept or knowledge, then there's artificial – doing something in place of a human. You can take it a step further and look at ‘generative' – generating a thing, or predictive – predicting a thing, agentic – giving it agency and allowing it to complete a task.  What is it that humans do today and, theoretically, what could humans do if they had unlimited time to do their jobs? For underwriters, the process is similar across many line of business: you analyse an exposure, loss history and loss control to come up with a rate perspective, etc. Where can AI systems interact with that process? BEST MOMENTS ‘One of the things I think is really scary with AI today is its perpetuation of news cycles and how fast it spreads.'  ‘No matter how sceptical people are, the vast majority of people are already using these technologies to do their jobs. By bringing them into the room, making them aware of what this technology does, and letting the interact with it, that's a powerful thing.' ‘There are going to be jobs that change, but we shouldn't think about it as AI replacing our jobs, we should think about it as someone using AI to do our job who will replace us.' ‘What we call AI today will change and change again because it always has; Deep Blue used to be called AI and is now called a chess simulator.' ABOUT THE GUESTS William Ross is a product and operations leader obsessed with solving the toughest problems in insurance with a mix of pragmatism, speed, and machine learning. As a core member of the Federato leadership team, Will focuses on one mission: turning underwriting from a slow, manual grind into a dynamic, data-driven advantage. At Federato, Will is helping specialty and commercial carriers build resilience and growth into their underwriting operations, showing chief underwriting and transformation officers that AI doesn't need to be another failed pilot—it can be the competitive edge that secures market share today. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook  TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

Are accounting firms quietly having their best year ever? Blake and David break down why revenues and partner comp are rising—despite AI anxiety—and what it means for pricing and staffing. They unpack Gusto Money's Melio-powered bill pay, Relay's $1B milestone, Drake's new workflow, and AI tools that actually help (note-takers, agents, research). Plus: Trump's biannual reporting idea, peer review for PE-backed firms, BOI reversal, and the messy ‘no tax on tips' proposal.SponsorsOnPay - http://accountingpodcast.promo/onpay TeamUp - http://accountingpodcast.promo/teamupBluebook - http://accountingpodcast.promo/bluebookChapters(00:00) - Introduction and Revenue Insights (00:43) - Welcome to the Accounting Podcast (01:00) - Gusto Showcase Event Highlights (04:18) - The Importance of Long-Term Relationships in FinTech (08:58) - Advisory Amplified Tour Announcement (11:06) - AI in Accounting: Honest Reflections from a Tech Founder (16:48) - AI Meeting Assistants for Accounting Firms (21:03) - Comparing AI Tools: Blue Jay vs. ChatGPT (29:43) - Accounting Firms' Revenue and Compensation Growth (31:12) - Rising Costs and Accounting Firm Strategies (32:25) - NASBA's New Mobile App for CPA Exam Candidates (33:50) - Drake Software's Workflow Automation Launch (37:13) - AI in the Workplace: Surveys and Trends (41:16) - Fiverr's Shift to AI and Layoffs (44:09) - Trump's Proposal on Financial Reporting (50:01) - Private Equity and Peer Review Oversight (52:28) - Tax-Free Tips and Proposed Regulations (54:13) - AICPA and NASBA's Earn and Learn Program Shutdown (55:20) - Conclusion and Listener Engagement  Show NotesCPA Firms Report Steady Growth in Revenue and Profit, AICPA Research Finds https://www.aicpa-cima.com/news/article/cpa-firms-report-steady-growth-in-revenue-and-profit-aicpa-research-findsVinyl Raises $2M to Build the Future of AI Meeting Assistants for Accountantshttps://www.usevinyl.com/insights/blog/vinyl-seed-funding-announcementDrake Software Unveils Powerful New Tax Workflow Automation Toolshttps://www.prnewswire.com/news-releases/drake-software-unveils-powerful-new-tax-workflow-automation-tools-302558230.htmlNASBA Releases CPA Mobile App for Future CPAs https://www.accountingtoday.com/news/nasba-releases-cpa-mobile-appAICPA Seeks Comment on Peer Review Proposal for Firms with Private Equity Backinghttps://www.cpapracticeadvisor.com/2025/09/16/aicpa-seeks-comment-on-peer-review-proposal-for-firms-with-private-equity-backing/169014/Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet 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/OvercastClassifiedsWant 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 classified ad: https://cloudacctpod.link/RunClassifiedAdTranscriptsThe full transcript for this episode is available by clicking on the Transcript tab at the top of this page

Send us a textTiffany Strong Hutchison takes us on an inspiring journey from homeschooling mom with an Excel spreadsheet to Director of Business Development at Heartland Capital, one of the shed industry's leading RTO companies. Her story reveals how unexpected opportunities, determination, and faith can transform both careers and businesses.Twenty-five years ago, Tiffany created a simple repo tracking spreadsheet that she sold for $25 a pop to local rent-to-own companies. This humble beginning evolved into a remarkable career that allowed her to support her family as a single mother while developing expertise in an industry she grew to love. Her experience offers powerful lessons about recognizing opportunity and building systems that scale.The conversation explores profound changes in the shed industry - from traditional storage buildings to elaborate structures serving as offices, studios, and specialized spaces. As Tiffany notes, "TikTok tells me I need a shed library," reflecting how consumer demands have evolved. Buildings have grown from $5,000 units on 36-month contracts to $25,000 structures leased over 72 months, fundamentally changing how businesses operate.What truly distinguishes this episode is Tiffany's candid discussion of leadership transformation. She shares how her faith journey reshaped her approach to management: "I became such a different person that some of my friends would come to me and say 'you're different.'" This shift enabled her to delegate more effectively, giving team members ownership and watching them flourish - sometimes beyond what she imagined possible.The episode delivers practical wisdom about navigating technological change while maintaining human connection, combating industry fraud through collaboration, and building company culture that feels like family. Heartland's philosophy - "Give our heart and help people" - serves as both business strategy and personal mission, demonstrating how purpose-driven leadership creates sustainable success.Ready to explore partnership opportunities with Heartland Capital? Visit HCI.net to learn how their comprehensive solutions can support your shed business.For more information or to know more about the Shed Geek Podcast visit us at our website.Would you like to receive our weekly newsletter?  Sign up here.Follow us on Twitter, Instagram, Facebook, or YouTube at the handle @shedgeekpodcast.To be a guest on the Shed Geek Podcast visit our website and fill out the "Contact Us" form.To suggest show topics or ask questions you want answered email us at info@shedgeek.com.This episodes Sponsors:Studio Sponsor: Shed ProCardinal LeasingLuxGuardDigital Shed BuilderiFAB

From Kitchens to Code: Gregory Willis on Flavor, Innovation & Food TechIn this episode, I sit down with Gregory Willis — founder and president of SenSpire, the company behind Flavor Studio, an operating system powering innovation in the food and ingredient industry. Gregory's journey is anything but linear: from earning four-star reviews as a chef in the competitive San Francisco dining scene, to leading CPG innovation at Chef's Best, to building patent-backed food tech solutions at Treasure8, and now creating software that unifies formulation, sensory testing, CRM, and R&D for some of the world's leading food companies.He's also the author of The Language of Flavor, a book unpacking the creative science of taste, and co-runs a boutique letterpress company with his wife. His career weaves together food, technology, design, and relentless curiosity.We cover:How lessons from fine dining — work ethic, customer service, discipline — shaped his approach to startupsThe creation of Flavor Studio: from flavor-predicting algorithms to a full R&D suite replacing Excel in food labsWhy most food companies still rely on spreadsheets (and how Flavor Studio solves this problem)Scaling Chef's Best into a nationally trusted label and what it taught him about consumer psychologyBehind the scenes of food innovation trends: tinned fish, Dubai chocolate, protein-everything, pickle-flavored snacks, and zero-proof drinksMisconceptions about taste: why aroma is central and the “tongue map” is a mythThe role of memory, design, and emotion in shaping flavor experiencesThe grind of patents and why sustainable food innovation is both slow and necessaryAdvice for young founders entering food/CPG: curiosity, communication, and building resilience against failure

Send us a textAn exploration of materials and techniques to accelerate Spiritual Evolution.  In this episode of Enthusiastically Spiritual, hosts Tiger and Tom explore the practical aspects of spirituality, emphasizing current themes for involvement in personal evolution. They share techniques and a format to get the most out of your life investment.  They discuss the value of time for your purpose in your spiritual journey, illustrating how to make spirituality practical in daily life. The conversation also highlights the resources available for spiritual growth, including online learning and techniques for energy awareness and environmental cleansing. The episode concludes with a reminder to be enthusiastic about one's unique journey and to actively build your awareness for greater fulfillment along with your accomplishments.Spiritual evolution is practical and applicable to daily life.Spiritual leadership helping individuals help themselves.Techniques assist in spiritual awareness and development.Valuing your time is crucial for spiritual purpose. Online resources can enhance spiritual learning and growth.Making spirituality practical helps in navigating life's challenges.Key monthly themes such as  'Excel' and 'Elemental' are discussed.Energy awareness techniques can ground and center individuals.Discover spiritual truths delivered in a practical way in these three e-books created by The Wayshowers College. Use discount code TNT2025 to receive 20% off the set. Ready to FEEL more FREEDOM within? Access the FREE video series created by The Wayshowers College here! Enjoy the first chapter of The Soul Quake Survival Guide here!Support the showHi! I'm Teresa. I have created this podcast to support "unseen" aspects of your life. You can call this the spiritual side. The podcast offers interviews of authors, healers, and thought leaders, for a positive higher spiritual perspective. Including ourselves! Our mission is to stimulate your inner wisdom, meaning, and enthusiasm for your unique journey. My husband Tom and I are also certified Spiritual Educators, and Consultants, who help make spirituality practical. We work spiritual awareness and sensitivity in all areas of our life for positive living. Through TNT ( Teresa n' Tom :) SpiritWorks, we can help you tap into your own Inner Guidance system on a daily basis, create a healthy balance between Thought and Feeling, and discover a stronger connection between you and your personal Spirit Guides through your Inner and Outer communication system: your Four Spiritual Gifts. Unlock ways to make the spiritual part of life practical. Connect with us at TNT SpiritWorks today! Follow us on:

✨ Don't waste energy in places, habits, or relationships where you don't grow. God has called you higher!

In this episode of The Curious Builder Podcast, Mark Williams sits down with Martin Davies O'Connor from Mill City Restoration for a lively chat about Martin's fascinating career path—from punk rock and Excel training to importing tequila from Mexico and ultimately running a successful commercial painting business in Minnesota. They dive into the realities of entrepreneurship, the challenge of cash flow (especially in commercial construction), the importance of work-life balance, and why understanding your numbers is key for any business owner. It's an energetic, honest conversation full of great stories and practical advice for anyone interested in building a business or just curious about unique career journeys! Support the show - https://www.curiousbuilderpodcast.com/shop See our upcoming live events - https://www.curiousbuilderpodcast.com/events The host of the Curious Builder Podcast is Mark D. Williams, the founder of Mark D. Williams Custom Homes Inc. They are an award-winning Twin Cities-based home builder, creating quality custom homes and remodels — one-of-a-kind dream homes of all styles and scopes. Whether you're looking to reimagine your current space or start fresh with a new construction, we build homes that reflect how you live your everyday life. Sponsors for the Episode:  Pella Website: https://www.pella.com/ppc/professionals/why-wood/  Contractor Coalition Summit: Website: https://www.contractorscoalitionsummit.com/ Adaptive  Website: https://referrals.adaptive.build/u8Gkiaev  Where to find the Guest:  Website: https://www.millcityrestoration.com/ Facebook: https://www.facebook.com/MillCityRestoration/ Where to find the Host:  Website - https://www.mdwilliamshomes.com/  Podcast Website - https://www.curiousbuilderpodcast.com Instagram - https://www.instagram.com/markdwilliams_customhomes/  Facebook - https://www.facebook.com/MarkDWilliamsCustomHomesInc/  LinkedIn - https://www.linkedin.com/in/mark-williams-968a3420/  Houzz - https://www.houzz.com/pro/markdwilliamscustomhomes/mark-d-williams-custom-homes-inc

Aviv spent months walking construction sites carrying tools for managers just to understand their problems—speaking to customers is "bullsh*t"—you need to work beside them to see reality. His company Buildots had a working AI product that tracked construction progress perfectly, but 90% of users got zero value from it. Until he made one key change that took them from barely surviving to 3-4X yearly growth. He reveals why his first customers had negative margins, how he accidentally underpriced by 10X, and why you should never build a feature until you've proven the value manually in Excel first. After nearly dying, today Buildots does tens of millions in revenue.Why You Should Listen:Why you need to stop talking to customers and start working alongside them.Why one simple change can transform usage and value creation.Why you should prove value without product before writing a single line of code.How to price when you have no idea.Keywords:startup podcast, startup podcast for founders, Buildots, Aviv Leibovici, construction tech, customer development, product-market fit, B2B SaaS, computer vision,00:00:00 Intro00:01:41 From Israeli intelligence to construction tech00:05:03 Working alongside construction managers00:10:20 Understanding the problem00:21:41 First customer deployment disaster00:30:29 COVID and nearly failing00:39:04 The pivot that changed everything00:45:16 Finding product-market fitSend me a message to let me know what you think!

This episode of the Amazing Cities and Towns Podcast sponsored by Bearing Advisors, Jim Hunt interviews Mississipi State Senator, Chad McMahan about Local Government. ·  7 Steps to an Amazing City:   Attitude Motivation Attention to Detail Zing Inclusiveness Neighborhood Empowerment Green Awareness   Thanks for listening and look forward to having you join us for the next episode.   Links Mentions During Show:   ·       www.AmazingCities.org ·       www.AmazingCities.org/podcast to be a guest on the podcast   About Mississippi State Senator, Chad McMahan:    Experienced Public Servant and policy maker serving as a State Senator. A business professional with a proven track record for sales performance executing sales of more than a million dollars a month. Skilled in operations management, mobile technologies, Microsoft Word, Excel, advertising, marketing, sales, and strategic sales, public relations. A motivational speaker inspiring sales and marketing teams to maximize their profits and perform at a world-class level. Discusses and teaches soft selling tactics and strategies that will increase productivity and maximize margins. A strong community and social services professional holding degrees from Union University and Tupelo Public School system.   About Your Host, Jim Hunt: Welcome to the “Building Amazing Cities and Towns Podcast” … The podcast for Mayors, Council Members, Managers, Staff and anyone who is interested in building an Amazing City.   Your host is Jim Hunt, the author of “Bottom Line Green, How American Cities are Saving the Planet and Money Too” and his latest book, “The Amazing City - 7 Steps to Creating an Amazing City”   Jim is also the former President of the National League of Cities, 27 year Mayor, Council Member and 2006 Municipal Leader of the Year by American City and County Magazine.   Today, Jim speaks to 1000's of local government officials each year in the US and abroad.   Jim also consults with businesses that are bringing technology and innovation to local government.   Amazing City Resources:   Buy Jim's Popular Books: ·       The Entrepreneurial City: Building Smarter Governments through Entrepreneurial Thinking:   https://www.amazingcities.org/copy-of-the-amazing-city   ·       The Amazing City: 7 Steps to Creating an Amazing City:   https://www.amazingcities.org/product-page/the-amazing-city-7-steps-to-creating-an-amazing-city   ·       Bottom Line Green: How America's Cities and Saving the Planet (And Money Too)  https://www.amazingcities.org/product-page/bottom-line-green-how-america-s-cities-are-saving-the-planet-and-money-too   FREE White Paper: ·       “10 Steps to Revitalize Your Downtown”  www.AmazingCities.org/10-Steps   Hire Jim to Speak at Your Next Event: ·       Tell us about your event and see if dates are available at www.AmazingCities.org/Speaking   Hire Jim to Consult with Your City or Town: ·       Discover more details at https://www.amazingcities.org/consulting   Discuss Your Business Opportunity/Product to Help Amazing Cities: ·       Complete the form at https://www.amazingcities.org/business-development   A Special Thanks to Bearing Advisors for the support of this podcast:  www.BearingAdvisors.Net    

Mariya Guttoh is  Director of FP&A and Treasury at PayJoy, a global FinTech company expanding credit access through smartphones to underserved customers in emerging markets. Celebrating 10 years this year , the company has served over 15 million customers and is on track to reach $650 million in revenue and $110 million in profit by the end of 2025. In this episode Mariya traces her steps from cosmetic marketing in Ukraine to arriving in the US with $300 and working three jobs while earning her MBA to becoming a finance leader. My finance journey working three jobs to pay for my MBA Becoming an advocate for AI in finance Two finance camps– “excited but clueless” and “cautious but clueless”  Using AI to automate vendor reporting across 10 countries  Identifying high impact AI wins (forecasting)  My ideal magic FP&A solution  How I turned myself into a self-created extrovert  Offset in Excel 

Do you feel like the stock market is a game rigged against everyday people? Maybe you've tried dabbling in stocks, only to be overwhelmed with emotions, paralyzed by indecision, or burned by losses. Why do some investors consistently win while most struggle to even get started? And what if the key to building wealth isn't luck—or insider knowledge—but a proven system that takes the guesswork out of investing?Enter Sean Tepper. Sean is the Founder and CEO of Tykr, a platform empowering over 12,000 customers across 50+ countries to confidently navigate the stock market. His journey reflects a deep understanding of both business and investment, honed over 20+ years in the corporate world and 15+ years dedicated to building wealth. He built and successfully merged a thriving agency in the 2000s, followed by a decade (2011–2023) as a highly sought-after project management consultant for industry giants like GE, Kohler, Kohl's, and Direct Supply.What makes Sean unique is not just his experience, but his passion for making financial literacy accessible to all. In 2016, he created a simple Excel-based investment tool that generated over 15% returns for himself. By 2020, he transformed it into Tykr, a sophisticated yet user-friendly software platform designed to take emotions out of investing and empower people to grow wealth with confidence.In this episode, Sean shares how he went from corporate consultant to entrepreneur, why most traders fail while investors succeed, and the principles behind Tykr that can help you achieve greater financial freedom—and a more fulfilling life.Quotes:“People really want more than anything, and you hit on the word, which is confidence—they want the ability to know what stocks to look for, what to avoid. It's literally the rest your head on your pillow at night and sleep better than you ever had before.”“Let us not become weary in doing good, because at the right time, you will reap a harvest if you don't give up. If you're providing value and there are people that are verbally saying thank you, or like you're seeing people that are getting results, but you've got no fruit out of it—not yet—keep doing it.”“It's the little steps. There's too many people set like, these massive goals, and then if they don't hit it, they're disappointed and disappointed stop. It's the little steps, that's what you want to chip away at.”Key Takeaways:Invest, don't trade → Ask yourself: are you trying to “get rich quick” by trading, or building long-term wealth through disciplined investing? 99% of traders lose money—investors win by letting their money work for them.Focus beats diversification (at first) → Instead of spreading thin across dozens of stocks, concentrate on 10–15 strong businesses if you're in growth mode. Diversification is for wealth protection later, not wealth building now.Use math, not emotions → Before making your next investment move, ask: Am I reacting emotionally, or am I following a proven system? Building confidence starts by trusting data over feelings.ConclusionSean Tepper proves that investing doesn't have to be overwhelming, emotional, or reserved for Wall Street insiders. With the right system, the right mindset, and a commitment to values, anyone can build wealth and confidence in the stock market. His journey with Tykr is a reminder that financial literacy is not just about numbers—it's about empowerment, freedom, and creating a life of greater impact.If you've been waiting for the “perfect time” to start investing, this episode shows you that the best time is now—and that you don't have to do it alone.

Send us a textThe day after the FOMC's first rate cut of 2025, we sat down with Matt Hornbach, Global Head of Macro Strategy at Morgan Stanley, to unpack what the decision really meant, and what the markets maybe got wrong on first read. Matt talks about the shifting dissenters, how updates to the Summary of Economic Projections present a more complicated picture for the future path of rate cuts, and why Powell's tone at the presser felt at odds with the statement itself.We also dig into the Fed's often-misunderstood, rarely referenced “third mandate” (moderate long-term rates), the limits of yield curve “engineering,” and the crucial point that U.S. mortgage rates don't simply follow 30-year Treasury yields. We dive into Matt's favored yield-curve steepener, going into the details of preferred expressions optimized for minimal cost of carry. Beyond rates, he explains why he expects further USD depreciation and gives us a rates-based framework to understand what sometimes feels like puzzling strength in the equities market. This episode is also our “Fixed Income Strategy 101” primer, where we cover: what macro/fixed-income strategy teams actually do, how they partner with sales & trading and clients, the difference between research/strategy/desk strategy, the top skills hiring managers look for (hint: learn Python), and common exit paths. Matthew Hornbach is a Managing Director at Morgan Stanley, Global Head of Macro Strategy, and one of nine members of the Global Investment Committee for Morgan Stanley Wealth Management. With support from his team, Matthew received the most individual or firm votes in the 2021, 2022, 2023, and 2024 Institutional Investor Global Fixed-Income Research poll across all analysts across all Economics & Strategy categories.Matthew began his career at Morgan Stanley in June 2000. He joined as a Japanese Government Bond (JGB) trader in Tokyo, then became a yen interest rate strategist. Matthew moved to New York in 2004 to make markets in Treasury Inflation Protected Securities (TIPS). He returned to Tokyo in 2006 to develop the US Agency MBS Pass-throughs business in Asia. In 2012, Matthew returned to New York as Head of U.S. Rates Strategy and became the Global Head of Rates Strategy shortly thereafter. Just prior to his 20th year at Morgan Stanley, he became Global Head of Macro Strategy. He oversees teams of developed and emerging market rates and FX strategists in New York, London, Tokyo, and Hong Kong.Matthew holds a BA degree in economics from Vassar College and a Certificate of ManaFor a 14 day FREE Trial of Macabacus, click HERE For 20% off Deleteme, use the code TWSS or click the link HERE! Sign up for our LIVE Virtual Bootcamps! 2-Day Financial Modeling Bootcamp Master the technical Excel and accounting skills essential for investment banking, private equity, and fundamental investing. (Learn more HERE) Global Markets & Investing PlaybookA one-day crash course on the financial ecosystem, perfect for anyone seeking a big-picture understanding of how global markets and Wall Street fit together. Our content is for informational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice. (Learn more HERE)

Data visualization veteran Andy Cotgreave joins host Mike Cisneros for a lively, wide-ranging conversation about the evolution of dashboards, the craft of data communication, and the future of generative AI in analytics. Andy reflects on his early career building “dashboards” in Excel for a demanding boss, how that experience shaped two bestselling books (The Big Book of Dashboards and Dashboards That Deliver), and what he's learned from more than a decade at Tableau as an evangelist and public speaker.They discuss the tension between efficiency and emotion in chart design, why no single chart type is ever “right,” and how semantic drift affects the way we talk about dashboards. Andy shares behind-the-scenes stories from Chart Chat, the Iron Viz competition, and his own evolution as a presenter and magician, offering tips for building confidence on stage and connecting with audiences.Along the way, the conversation touches on the launch of Cole, Mike and Alex' newest book, the fifth in the storytelling with data series, Before and After, upcoming in-person and on-demand learning opportunities, and the importance of community, practice, and curiosity in becoming a better data storyteller.Related Links:Check out Andy's Books: ⁠Dashboards That Deliver⁠ and ⁠The Big Book of Dashboards ⁠Register for upcoming ⁠workshops and courses⁠⁠Order Before and After⁠⁠Follow ⁠@storywithdata⁠ | share via ⁠#SWDpodcast

In business and in sales, the future is changing faster than most can keep up. AI isn't just a buzzword anymore. It's transforming how deals are made and how teams operate. In this episode of the #DoorGrowShow, property management growth expert Jason Hull sits down with Steve Trang of ObjectionProof.ai to explore how AI sales reps can book appointments, review calls, and follow up with leads instantly, what this means for property management entrepreneurs, and why learning to leverage AI now is critical to staying competitive. You'll Learn [01:24] The AI Revolution [11:11] AI Sales Reps [17:39] The Future of AI in Sales [27:31] The Importance of Asking Good Questions [34:49] Setting Impossible Goals to Grow Faster Quotables “I'm not here to say your job is at stake, but you should operate as if it is—because if you're not, you're going to get replaced.” “The version of AI today is the worst version you'll ever deal with—because it's only getting better.” “AI can instantly—99.9% uptime—call the prospect, ask questions, and book an appointment for you or your salesperson to actually run the sales process.” Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Steve Trang ObjectionProof.ai (00:00) We are building out an AI agent that can actually run sales.   call the prospect, ask questions, book an appointment.   for you,   so it actually sounds like you're having a conversation with another human being.   Jason Hull (00:14) All right, I am Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive coaching and consulting firm for long-term residential property management entrepreneurs. For over a decade and a half, we have brought innovative strategies and optimization to the property management industry. At DoorGrow, we have spoken to thousands of property management business owners, coached, consulted, and cleaned up hundreds of businesses, helping them add doors, improve pricing.   increase profit and simplify operations and build and replace teams. We are like bar rescue for property managers. In fact, we have cleaned up and rebranded over 300 businesses and we run the leading property management mastermind with more video testimonials and reviews than any other coach or consultant in the industry. At DoorGrow, we believe that good property managers can change the world and that property management is the ultimate high trust gateway.   to real estate deals, relationships, and residual income. At DoorGrow, we are on a mission to transform property management business owners and their businesses. We want to transform the industry, eliminate the BS, build awareness, change perception, expand the market, and help the best property management entrepreneurs win. Now, let's get into the show. All right, my guest today is Steve Trang of objectionproof.ai, and we're gonna be talking about, I guess, the future.   Does that sound about right?   Steve Trang ObjectionProof.ai (01:36) Yeah, I would say that's very, very relevant, even more acutely today than normal. Yes.   Jason Hull (01:42) So we are in the middle of this insane AI revolution. know, AI is taking over quickly. Everybody's talking about all the jobs that are going to go away. Everybody's playing with chat GPT. It's becoming like their second brain. We're all maybe getting a little dumber because of it. Who knows? But we're also getting more more capabilities.   Steve Trang ObjectionProof.ai (01:59) Yeah.   Jason Hull (02:03) It's all speeding up so quickly even before we started. I'm like, I just tried this tool and you're like, have you heard of this tool? And like, there's just so many tools out there. before we get into all that, Steve, tell us a little bit, give us a little background on you as an entrepreneur and how you kind of got into entrepreneurism and what led to objection proof.   Steve Trang ObjectionProof.ai (02:26) Yeah, so it's going to be a long, secretive road because I got into real estate in 2005. So, you know, I did the good, you know, the, the get good grades so can get a good job deal. Right. I all that. was an engineer. I worked at Intel. and I realized fairly quickly, I wasn't manageable. And so, I had to, I had to find something else where I could work for myself. I read rich dad, poor dad from that. It's like, I got to do real estate, but.   I didn't take the advice quite right because I became a realtor in 07, not a good time. So that was a major, major humbling experience. I did some short sales, which are relevant again today. I a list of properties for banks, eventually started my own brokerage. You know, when the bank, when the foreclosure started dying down, became, my own brokerage. Did pretty well. had almost 1 % or we had 1 % market share for a very, short period of time. In the Phoenix market, one of every 100 transactions went through our brokerage.   then, I started buying houses, cash started wholesaling, did some flipping, started a podcast disruptors, which is where most people know me from. And then along the way I started a sales training program, started a title company, did some mortgage joint ventures. and then where we are today is AI. I probably sound very ADHD. I promise you, I don't have it.   I'm just always chasing the next object, which is very much a symptom of ADHD. But I can sit down and focus for long periods of time. It's just that I'm an entrepreneur, I started out as entrepreneur, and it wasn't until the last two, three years that I've actually learned how to actually sit down and focus. So that's how we got here.   Jason Hull (03:58) Okay, yeah.   All right, cool. So now that you know how to focus, what are you focused on?   Steve Trang ObjectionProof.ai (04:05) Our focus is at this point more than half of my work schedule, which is more than 50 hours a week, right? It's probably like 60 or 70, is on AI. And the reason why is because things are changing so fast and the things we're trying to do are so innovative. And everyone says that, right? But like We are building out an AI agent that can actually run sales.   And so that is something that a lot of people have promised is something we're actually doing. Now, it's not going to buy a house. Is that going to convince a landlord to allow you to do property management? You're still going to have to do the heavy lifting. But what it can do is initiate the conversation, right? So if someone fills out a form, AI can instantly, 99.9 % uptime, right, because it's all technology now, call the prospect, ask questions, book an appointment.   for you, the business owner or salesperson, to actually run your sales process. So we can actually book appointments. It sounds real. You can't tell it's AI. Well, if you're really, really deep in the AI world, you could probably tell it's AI. But most people can't tell it's AI. And so it actually sounds like you're having a conversation with another human being. And it took a lot of effort to make that happen.   Jason Hull (05:22) Yeah.   Steve Trang ObjectionProof.ai (05:23) So that's where a core, a very, very heavy percentage of our detention is today.   Jason Hull (05:28) Got it. Yeah. I've started playing around with it. I haven't pulled the trigger to actually have AI agents calling or cold calling my prospects. I'm a little nervous about doing that.   Steve Trang ObjectionProof.ai (05:36) Mm-hmm.   It's a there's there's elements of leap of faith, right? But you can also test it. You know, we have a if you want to, you know, give it out, we have like a way to opt in for AI to call you so you can hear for yourself what it sounds like. It's not perfect, right? Like the we launched it on August 1st to all our existing clients. So, you know, not that long ago. ⁓ And we're learning about bugs that we weren't aware existed as we're testing it.   Jason Hull (05:59) Yeah.   Yeah.   Right. Yeah.   Steve Trang ObjectionProof.ai (06:06) because that's how new this is, right? So we're still iterating   and getting better all the time.   Jason Hull (06:10) Yeah, got it. OK, cool. Well, that's that's the future. I mean, the amazing thing is. I just signed up for an AI tool like this last weekend and they had this chat bot on the home page that you click talk and it's like a voice, it talks to you and it can hear you talk and it was in the voice of one of the principals of the company. And it was like really good. I don't know if they use 11 labs to do the voice or whatever.   Steve Trang ObjectionProof.ai (06:29) Yeah.   Right.   Mm-hmm. It's probably   11 labs, so that would be my guess.   Jason Hull (06:40) But   yeah, it was like his voice and I could ask it anything. I was asking like, it do AI, like can it do API integrations with HubSpot and how would it connect to this? And it was like giving me, yeah, you could do this and this is how it would work and this way. And I was like, there was no question I could ask it, it didn't know. And it knew everything about the tool. I could ask all sorts of questions about its capabilities and it's like, nope, we don't have that functionality but you could do it this way. And I was like, I was like.   Steve Trang ObjectionProof.ai (06:53) All right.   Jason Hull (07:07) I felt like it knew more than any salesperson at their company I could have talked to.   Steve Trang ObjectionProof.ai (07:12) Oh, 100%. Yeah.   Jason Hull (07:14) And so I was really blown away. was like, I I spend hours asking questions because they had, it was like, you have to pay for the year for this tool, right? So I was like, I'm not going to pay for the year for a tool. If I don't know, like I can't trial it or anything. So I was like, I'm asking every question and because it could answer every question I could throw at it with ease. I got all my answers asked and nobody there had to spend any human labor time to talk to me. And I signed up.   Steve Trang ObjectionProof.ai (07:22) Yeah. ⁓   Jason Hull (07:42) It was pretty wild. And I'm like, wait a second, could I do this? Can my clients do this? Yeah. But yeah.   Steve Trang ObjectionProof.ai (07:48) ⁓ You can answer   all the questions. That's not a sales thing, right? Because we have a philosophy that sales is an emotional process, not logical process. So it can answer all the questions. It can remove a lot of the obstacles. But someone still needs to either sell a story or a dream. Or our philosophy is can we ask Jason enough questions.   Jason Hull (07:55) Yes.   Steve Trang ObjectionProof.ai (08:09) where Jason can formulate his own dream and decide to purchase himself. Because the thing we talk about is we don't sell. We get prospects to sell themselves. And so the one thing that AI cannot do just yet is to get you to sell yourself so that you're willing to sign a contract or pull out a credit card. The thing about entrepreneurs, business owners, and salespeople, the reason why we're such great buyers is because we tell ourselves great stories.   Jason Hull (08:18) Yes, totally true.   Yeah.   Steve Trang ObjectionProof.ai (08:34) The   general public is not as good at telling ourselves as great as stories. And so they don't need someone to facilitate that conversation to get them to pull the trigger.   Jason Hull (08:42) you   Yeah, I've really followed Jeremy Miner's kind of new model of selling sort of formula is NEPQ stuff. And because I noticed sales was getting harder and harder, like people didn't trust. And we're like in this post trust era, nobody trusts anything anymore. so, you know, everything's fake. Like is everybody's perception, especially since the pandemic, everybody got a little bit burned, you know, in the last several years. We're like, everybody's trying to trick us like   Steve Trang ObjectionProof.ai (08:48) Mm-hmm. Yeah. Yes.   Exactly.   Mm-hmm.   Everyone has an agenda. Yeah.   Jason Hull (09:10) And nobody has our best interests at heart. Everybody has   an agenda. And I'm actually working on a book right now called the Golden Bridge Formula, which is my philosophy in selling, which is basically if you can showcase how, if I am purely selfish and I'm achieving what I want out of life, I can show how it benefits you, my prospect. And so everybody can trust our motives. If the default assumption in sales is that your motive is to get their money.   Steve Trang ObjectionProof.ai (09:19) All right.   are mutually aligned.   Jason Hull (09:34) which is a really crappy sort of motive, right? But I have something I want more than money, right? Which relates to my purpose in life. And so we teach our clients how to build that golden bridge and how to do that. So I think it'll be really interesting to see when people start to build. I think that's the thing is it would take some real intelligence from, you know, a human that understands empathy and understands this.   question-based selling in order to build out AI bots that can do it. Well, I don't know, but we'll see.   Steve Trang ObjectionProof.ai (10:04) I would estimate we're probably about 12 months out because we can do it pretty well right now, but we can't do it well with latency and enough information. So like when we're scheduling appointments, like the reason is not to schedule an appointment. There's only a handful of objections, right? But when we're doing real estate,   Jason Hull (10:14) Yeah.   Mm-hmm.   Steve Trang ObjectionProof.ai (10:24) there's a lot more questions that need to be answered. And also there's all sorts of different creative ways we can solve the problem, right? Like, you know, the traditional buying land creatively is like, all right, Jason, look, you can pick price, you can pick timeframe, you can pick payments, but you can't pick all three, right? We're not quite there yet, because the dimensions of how you can negotiate a real estate transaction.   Jason Hull (10:40) Yeah.   Steve Trang ObjectionProof.ai (10:47) It's substantial, right? It could be like, what's most important to them? Is it the depreciation? Is it the tax consequences? Is it the appreciation? Is it the cashflow? Is it I need to hide my taxes, right? Like what is your agenda? And so like AI doesn't have all the information today.   Jason Hull (11:02) Hmm.   Steve Trang ObjectionProof.ai (11:04) But I imagine 12 months from now, we can have enough data, can have AI figure all that out.   Jason Hull (11:10) Yeah, I would think so. okay. Well, tell us about objection proof. Like what is it?   Steve Trang ObjectionProof.ai (11:17) Okay. So, before we get into that, I've been a sales trainer for more than six years now. So we've been coaching the top, house buyers across the country. You know, I'm in Collector Genius, I'm in boardroom and family mastermind. And so like, I work with the biggest and best operators across the country. And as I was looking at it, we've trained hundreds of sales teams and we've trained thousands of salespeople. And so when we talk about our AI tool, it's really just leveling up what already existed.   Jason Hull (11:29) Mm-hmm.   Steve Trang ObjectionProof.ai (11:45) And so earlier this year, we had three different individuals. We Stephanie Biders, the left main, Brad Chandler with Express Home Buyers, and then Casey Ryan, another really successful wholesaler in Vegas. All three of them, in a course of days, pulled me aside and said, hey, Steve, can you create an AI tool that does this? Hey, Steve, can you create an AI tool that does that? And the things they were asking for was an AI tool that can do automatic call reviews.   Right, because there's nothing more frustrating as a business owner than to sit down and listen to call reviews, right? I'd rather cold call than listen to a call review. And so, ⁓ so can you automate the call reviews? Especially if it's bad calls, yes. Right, and so can we automate call reviews? all right, so I set out to figure out how to do that. The other problem was like, how do I know my new salesperson is now ready to take leads I'm paying for?   Jason Hull (12:20) Right.   Right, especially if it's mad calls.   Steve Trang ObjectionProof.ai (12:43) You hire a salesperson, you onboard and you train them. When are they actually ready for leads that you're spending three, $400 for? Okay, so let's create a roleplay bot that can measure the quality. And then the last thing is how can we have our salespeople train every day on your ideal sales process? So again, the same idea with a roleplay bot is that you can call it every single day and train on it. So we created that.   Jason Hull (12:44) Right.   Steve Trang ObjectionProof.ai (13:12) earlier this year and that's been growing like gangbusters. Right. And then the thing again, we just launched this past week or week and a half now is an AI lead manager, which takes it from like someone that fills out an inquiry on the web form to calling them within seconds, right? To talk to them, to schedule an appointment. And the great thing about AI is that it has zero call reluctance. And I can tell you in my own personal experience as the one that created this tool.   Jason Hull (13:30) Yeah.   Yes.   Steve Trang ObjectionProof.ai (13:40) When I built it out, I forgot to iterate, like this is super nerdy stuff, right? But like, hey, call three times and stop, right? But I didn't get the counter right, so it always started zero every time I went through the loop. It called me 15 times in a row before I figured out how to shut it off, right? So it's got zero call reluctance. Oh yeah, if you said it, it'll call you 100 times a row, 1,000 times a row, no fear.   Jason Hull (14:01) It's very persistent, yeah.   Well, you know,   that's super interesting because I saw a video recently from Alex Hermosy and I've worked with him. I've been in masterminds with him and he said that he, one of his partner companies that he invests in, they had a 400 % increase in their close rate just by hiring one person to call every new lead within 60 seconds of the lead coming in. 400 % increase in deals close. And I'm like,   Steve Trang ObjectionProof.ai (14:26) Mm-hm. Yeah. Right.   Jason Hull (14:31) That speed to lead is a significant thing. So I've been thinking about the same exact thing. I'm like, can connect Sinflow to HubSpot or can I do something to get some sort of phone agent to like call a new lead instantly? Because it's really difficult to get my team to do that. They might be in the middle of something. They might be making calls right then, you know? And so, yeah, 60 seconds.   Steve Trang ObjectionProof.ai (14:46) They're humans.   They can be at a sales appointment,   they can be in the bathroom, they can be in the car driving back from an appointment. Yeah, exactly.   Jason Hull (14:55) It can be late at night, like when the lead comes in, you know, and I don't know,   maybe somebody's filling out a lead form at one in the morning. I don't know if they'd answer the phone, but like call them and text them an email and maybe something happens. don't know.   Steve Trang ObjectionProof.ai (15:08) Exactly. Yeah, so that's the problem we seek to solve and I would say we did a pretty good job of it.   Jason Hull (15:14) Nice. Okay. Very cool. So yeah, super cool. So mean, this is the future and you know, I'm sure now because AI allows us to innovate with AI even faster, like it's, it's snowballing. Like it's just speeding up rapidly. It's like, now you can go to your AI and say, Hey, I want to figure out how to do this, solve this problem. And it's like, here's a bunch of ideas, which like   Steve Trang ObjectionProof.ai (15:25) Mm-hmm. Yes.   Mm-hmm.   Right.   Jason Hull (15:38) Evaluate these ideas which ones are the best ideas and it's like this one will give you the the biggest return, right? Yeah, so it's pretty wild. So I think I did in working on my book over the weekend in a day. I probably did what would have taken 90 days of research in it like It just months of research like   Steve Trang ObjectionProof.ai (15:57) Mm-hmm. Yeah.   Yeah,   the time compression is just absolutely outrageous. The amount of time AI can save you is just off the charts. I built out the tool. Now there's Ian Ross from an organization. He's the AI Whisperer. He's been training the AI boss for two years now. But I built everything around it. And if I were to try to do everything I did without AI, three years maybe to get it done, right?   to learn React and SuperBase and all this other stuff, right? To learn how to compress audio files and automatically. And it took me months to get a product. We have, we're looking at, have 130 clients now using our tool. And it's something that started less than six months ago. So yeah, AI is showing you how to use AI.   Jason Hull (16:43) Wow. Yeah.   Yeah, I mean, it's scratching a super strong   niche. Like if you go on Google Trends and put in AI and it like, just watch, it's like nothing and then it's just going crazy and it's surpassing everything right now. So let me share a quick word from our sponsor real quick for this episode. So our sponsor is Cover Pest. Cover Pest is the easy and seamless way to add on demand pest control for your resident benefit package.   Residents love the simplicity of submitting a service request and how affordable it is compared to traditional pest control options. Investors love knowing that their property is kept pest free and property managers love getting their time back and making more revenue per door. Simply put, Cover Pest is the easiest way to handle pest control issues at all of your properties. To learn more and to get special DoorGrow pricing, go to the website coverpest.com slash door grow.   All right, so Steve, let's get back into talking about AI. you know, you're focused on the sales side of things. What do you see as the future of what's gonna be happening with sales and what are your team working on developing next?   Steve Trang ObjectionProof.ai (17:57) I mean, the things we're working on next is just getting to the actual sales conversation where, you know, for someone that needs to their house for cash, right, which is our core audience, is how do we get it from beginning of a web form all the way into an actual transaction to actually get assigned a contract? That is going to be the next step. I think we can incorporate transaction management into it.   Right? The goal here is to get to a point where you basically have a handful of salespeople. One person that can handle the acquisitions, the buying of the houses. One person can handle the dispositions. And one person still to really talk to homeowners as scheduled appointments because the reality is AI doesn't replace everybody. AI just makes everybody better. As matter of fact, in half an hour from now, we're actually doing a training internally where our guy Ian, our AI whisperer,   is going to be teaching everyone in our organization prompt engineering. And the reason why that is, is that everyone needs to be using AI. Because if you're not, the amount of productivity everyone in organization, since we started using AI, is at least three times better, at least, if not more. And so every person that's not using AI is expensive now, because their amount of productivity is less than a third of what the other guy who is using AI.   Jason Hull (18:59) Right.   Right. So you could easily 3x the output if you just understand how you can leverage AI in some clever use cases.   Steve Trang ObjectionProof.ai (19:18) Exactly. Right. So if you look at that and then the reality is if I can get it down to just the best salespeople in my organization and AI everything else, everyone else that's not using it, their marketing costs, their overhead and everything else is just going to be more than mine to do the same amount of work, which in a very short period of time isn't that big a deal. But if I can reduce my overhead by 10 % compared to you and we're running the same business model.   Next month I have 10 % more to spend on marketing. And the month after that. And month after that. And my sales is only gonna grow. So we're gonna see a time where those that aren't on board are gonna find themselves unable to compete just because of margins alone. We had a, there's a colleague of mine, someone I look up to, I respect a lot. And we had a conversation where she let four people, she let go of four people earlier this year.   Jason Hull (19:50) Right. Yeah. And it compounds.   Right.   to compete, totally.   Steve Trang ObjectionProof.ai (20:13) Each person, six figure salary. So, she had to let go four people. And the reason why was that AI can do their job, right?   Jason Hull (20:24) Yeah, I six figure salary is saving like what half a million? Yeah.   Steve Trang ObjectionProof.ai (20:27) almost half a mil, right? And she's   like, and it sucks because she cares about these people. They've been with her as she built out the company, right? But right now her competition is some kid who lives at home with no expenses. She can't compete with that kid if she has all this expense on her payroll. It sucks. So everyone in our company is going to have to learn how to use AI to do their job more effectively, more efficiently. And so that's, so I would say on top of   Jason Hull (20:31) Yeah.   Steve Trang ObjectionProof.ai (20:54) the sales part is that everyone, everyone is getting looked at. There's a person in organization, I'm like, how are you getting so much done? Because she has stepped up and picked up three other people's in the last year. She picked up three other people's jobs. And then I talked to her last week, like, what are you doing? And she just showed me her chat GPT that's always open. That's it. She's just picking up other people's jobs because she's able to do it all day.   Excelled at using it and I think that's just that's just the future and this is not nothing new that people haven't heard before Really? What I would say is there should be a wake-up call if you're not listening as a matter of fact I had a really uncomfortable conversation last week Because I train acquisition managers, which is sales disposition managers, which is moving the properties Lead managers we were booking the appointments and then sales managers right how to manage sells people get the most out of them the lead manager call I was like, hey look   how many of you guys are paying attention to what I'm saying on social media? And like maybe 10%, 12 % raise their hands. I was like, okay, if you're not paying attention on what on social media, then this needs to be your wake up call. I have created an AA tool that is directly threatening your job. I am training you and I'm also creating a tool that might compete against you, that will probably compete against you. And so the reality is,   Jason Hull (22:08) or real life.   Steve Trang ObjectionProof.ai (22:13) A, it's awesome you're on this call, because you're training becoming one of the better ones across the country. And you have to have this mindset that I'm going to be irreplaceable. So you have to be the best, because this is what you're competing against. So I'm not here to say your job is at stake, but you should operate as if it is, because if you're not, you're going to get replaced. That was an uncomfortable conversation.   Jason Hull (22:30) Yeah, it was at least a year ago when AI was   starting to just sort of peak, you know, come up on everybody's radar. I gave my team, heard of, saw Alex Hormozi like give his team the task of like trying to replace themselves with AI. And so I said that to my team and several were so offended. They're like, you trying to replace us? I'm like, but that's reality. So I was like, try it. And I got some like.   of weak responses because they weren't really focused on it. But now I think everybody can see like this is coming and nobody thought that the most expensive jobs would be the first thing to be going. Lawyers, like doctors, like a lot of this a lot of the data, the research, the stuff that takes a lot of knowledge. It's hard to beat something that can pull in everything, you know, and and then really all these specialists that are so specialized in things, they're   Steve Trang ObjectionProof.ai (23:05) No, no one saw that coming.   Jason Hull (23:23) you know, AI is probably going to eat their lunch and then, you know, and then like really high level copywriting jobs, high level graphic design work, like all of this also. And so it really is becoming a future in which those that are the most creative in thought and how to leverage AI, the creators, and they're going to be AI creators that can leverage AI and know what tools.   are available and they're staying up on that. Those are going to be the ones that are the most valuable team members because they have access to infinite knowledge. Knowledge is no longer a super valuable resource. It's, and you can just get it. We've got the internet, there's tons of it out there, but the people that can figure out how do I isolate what knowledge is needed right now? How do I leverage AI to like figure it out? How do I, you know, then feed it into some sort of agentic system or create some sort of agent or some sort of chat or prompt or rule to like,   Steve Trang ObjectionProof.ai (24:00) Mm-hmm.   Jason Hull (24:19) you know, get the output that I need. These are the people that are going to, you know, be leading the way. And so it's really interesting.   Steve Trang ObjectionProof.ai (24:27) Yeah, the creators.   I've been looking at it. we've been using Working Genius internally as well as for hiring. So if you guys that are listening aren't familiar with it, it's created by Patrick Lancioni who wrote like, what is it? ⁓ Amazing books. was, shoot. Anyway, Patrick Lancioni is an amazing, amazing author, wrote some amazing books.   Jason Hull (24:41) He's written a bunch of good books.   That's that from right here.   I've got, where are they? Let's see.   Oh, he wrote The Motive, Getting Naked, The Ideal Team Player, Five Dysfunctions of a Team, Death by Meeting. Yeah, he's got some great books.   Steve Trang ObjectionProof.ai (24:50) The advantage is one of them, but there's like...   by this function as a team, yeah.   Yeah, FIDAS   function seems huge, huge one, right? So he wrote working genius. And working genius breaks down to six letters, right? Widget, which is coincidental, I suppose. So what it stands for is wondering, inventor, galvanizer, discerning, enabler, and tenacity. And so most people are two of them as an energy.   It gives you energy, two of them are like it drains you, right? So like I don't like doing work. So T and E is just that for me, right? But I do like to invent and I like to discern. And then Ian likes to invent and likes to galvanize. But the key here is we're both inventors according to Working Genius. And I think right now in this world with AI, it's going to be the people that have the W, the wondering, the inventiveness. I think those are the two they're going to do the most.   Jason Hull (25:30) you   Steve Trang ObjectionProof.ai (25:49) the most well in this new world because we can automate a lot of other things. We can automate the mundane tasks. That's what the agents are for. So it'll be interesting. AI can discern to some degree. It can't galvanize. So we still need someone to lead the charge and get everyone to storm the.   Jason Hull (26:00) Mm.   Thank   Steve Trang ObjectionProof.ai (26:13) stormed enemy territory. But yeah, I think to your point, the creators, I look at it as everyone that's got the wondering and inventiveness is gonna do really well on this new AI world.   Jason Hull (26:25) Okay, yeah. Those things sound fun to me. That sounds like way more fun to be spending my time on doing those kind of things than most anything else you do in business. And I love that you said, you know, figuring out which things are kind of your, give you energy or take away your energy. So one of the things we have our clients do is we give them a time study that we've created that.   Steve Trang ObjectionProof.ai (26:32) Yeah.   Mm-hmm.   Jason Hull (26:49) They do a time study for like two weeks and they track which things are plus signs or which things are minus signs. Just to figure out, because the easiest way I can get them towards more output or towards more joy or more fulfillment in their business or more freedom or offloading the right stuff is just to figure out which things are their minus signs and which things are tactical so we can get those off their plates so they're focused more on the strategic things and the plus signs, which usually are connected. So for entrepreneurs, yeah.   Steve Trang ObjectionProof.ai (26:54) Huge.   Mm-hmm.   Jason Hull (27:17) And so, yeah, I think that's going to be the powerful thing is that if people can become conscious of the things that are draining them, then you can just ask the question. You can go ask AI the question, how do I get rid of this? How do get this off my plate? Give me some really good ideas. Yeah. And so we've got this magical thing that it's like we've got the magic genie of answers that can just give us any answer to anything at any time. But you have to ask good questions.   Steve Trang ObjectionProof.ai (27:30) All right. It really is that simple these days.   You have to ask good questions, and then the thing that you have to make sure, and I don't know how to do this, is to make sure you don't give up your critical thinking abilities. I think that that muscle is going to atrophy pretty fast in this new world. The ability to actually ask good questions and then filter, is that actually a good answer? Does that make sense? Or are we just accepting the answers? Because you can see, if you just accept things, if you just accept data without questioning it,   Jason Hull (27:56) Mm.   Yeah, it'd be pretty destructive.   Steve Trang ObjectionProof.ai (28:08) you're going to atrophy pretty fast, I think, of your critical thinking skills.   Jason Hull (28:11) Yeah. And that's where you hear the horror stories of AI, like people killing themselves because AI told them to, know, stuff like this, where they're just like, they think AI is like, becomes some sort of superpower when it's really just reflecting them. Yeah. It's just reflecting them and their, you know, psychoses, I guess. So I think, yeah, you know, I've noticed that, yeah, sometimes chat GPT, for example, can be very agreeable.   Steve Trang ObjectionProof.ai (28:17) Yeah.   It's not all knowing all powerful, it just appears that way.   Yeah, sad.   Jason Hull (28:36) It's like, that's brilliant. You're the best. Like it's giving you compliments. like, yeah. You know, but the reality is, yeah, you have to ask it to challenge you. And you have to like say, what are the flaws in this or what evaluate or, and so I'll have the one AI tool evaluate what another AI tool gives me. I'll say, which of these ideas should I actually do to my offer document or what should I change or what should I improve and which things are not a good idea?   And it rates them for me. Like Claude will be like, this is like, these are the ones you should do. These ones maybe, and these ones definitely don't. I would recommend these. And I'm like, cool, do that. Right? And so, yeah. And so I think we have to, we have to have a brain that's creative enough to see the potential problems and to ask the right questions and to challenge things. because yeah, otherwise you may just   be led down a rabbit hole of your own self-reflection, that's a blind spot.   Steve Trang ObjectionProof.ai (29:37) Mm-hmm. It's the same dangers we see with TikTok. It just sends you down the wrong rabbit holes.   Jason Hull (29:43) Right. Because the algorithm is just giving you more of what you look at. you're like, man, I'm really, it's like, you know, that prurient interest where you just can't stop looking at the car crashes that are driving, you know, driving by. then the algorithm's like, cool, they want to see more car crashes. And you're like, wait, why is this awful? Yeah. So yeah, that's, that's, that's the difference between AI and real life. so, you talk about creating a self-managing sales team.   What the self-managing sales team because having managing a sales team is pain in the ass.   Steve Trang ObjectionProof.ai (30:16) Yeah, so the self-managing sales team, we're using AI to power it. So it still requires a person to actually care about the other salespeople, right? So the big thing is like, what are you meeting with them? Are you finding out what's important to them? What is their big, hairy, audacious goal, right? So that's the first and foremost. We've got to figure out what their big, hairy, audacious goals are. Then we've got to quantify it. How much money do you actually need to make to accomplish that, right? And then we reverse the math, which isn't new, but   Jason Hull (30:17) They can't.   Mm-hmm.   Steve Trang ObjectionProof.ai (30:46) The newer wrinkle here is like we got to tie it to the big hair audacious goal. And then we'd look at, right, how many transactions do you need to close? Okay. And then if we need to close as many transactions in the year, then in real estate, how many contracts do we need to go under in order to have that many closings? Right? Because unfortunately it's not a one-to-one. So then how many contracts we have, then how many appointments do we need to run per week to hit that many?   Jason Hull (30:54) Hmm.   Steve Trang ObjectionProof.ai (31:15) closings per month. And then we work into how many conversations do we need to have per week to have that many appointments per week. And then in order to have, then we figure out how many conversations we need to have per day. And we back it all the way up, right? And then.   Jason Hull (31:30) So conversations   to appointments to contracts to transactions to hit the B-Hack. Okay, right.   Steve Trang ObjectionProof.ai (31:36) Yeah, yes.   It has to work that way. And the sales manager or business owner needs to care about their people to actually care about those goals. Because if you don't care about those goals alongside of them, none of this matters. You got to care about your salespeople, But once they care about our salespeople, now we can use AI to track and hold them accountable to their metrics. And so one of the things that we have is if anyone's off, we can report this.   And you can do this with VA's and systems and this and that. The things that we've added recently with AI is that in our organization, after every single sales call, AI does a call review. And after it does a call review, it pushes it into Google Chat. So we use Google Chat, you can use Slack, you can use Teams, but we use Google Chat. It pushes into Google Chat where all the salespeople are in. And so it says, hey, Steve on this call got a 51 out of 100.   Everyone can see it. There's no hiding. Yeah, and so then after it gives me that review, it gives me the score, it gives me all the reasons why, I need to, as a salesperson, go in there and comment on it. I agree with this, I disagree with this, here's my takeaway from it, here's what I'm gonna work on. So, that's a super tight feedback loop. Now, instead of a call review that happens maybe once a week, or maybe once a month, or never,   Jason Hull (32:33) Yeah,   Right. Yeah.   Steve Trang ObjectionProof.ai (32:58) our sales guys are being coached in the moment where they're at in real time. Right? So they're self-managed because they have to go and respond to it. And here's the other thing too, like marketing has always been, or marketing should be accountable. you run your business right, we should know, hey, we spent our X dollars on this. How many leads did we get? How many contracts did we get? What was the revenue that came from this lead source for this marketing channel? What is the return on investment or return on ad spend?   Jason Hull (33:03) Yeah, that's great.   Steve Trang ObjectionProof.ai (33:25) We can be pretty good with marketing if we care. Accounting, it's really easy to tell when accounting is screwed up. It didn't zero out. Pretty easy to, you know, black and white accounting. Sales has always been leads went in and there's this black box and then contracts came out. We've eliminated that black box, right? Everyone's accountable to everyone else. So if you're in there,   Jason Hull (33:50) Yeah.   Steve Trang ObjectionProof.ai (33:51) And you can see, like you're putting up 50s over and over again out of 100, either you're going to self-select out or you're going to get better. But there's nowhere safe to hide in our sales company anymore. And that's how we created a self-managing sales team. Everyone can hold everyone else accountable. Jason can call Steve out, Steve can call Jason out. Right? So that's how we've had that. And then on top of that, our AI tool also has trends. So we can say like, hey, in the last seven days, here's where Jason's really struggling. Coach him on this. Or in the last 30 days, right? So we have one guy.   His struggle consistently is isolating the real objection. That's one of our guys. The other guy, his challenge consistently is not letting a difficult statement just sit there and just ruminate for like five seconds. We'll all agree, yeah, we gotta let it sit there. So those are two different cells, guys, we have two different challenges, but I know that because   Jason Hull (34:36) Right, he jumps in and has to solve it too quick.   Right.   Steve Trang ObjectionProof.ai (34:47) every single call is being reviewed. And that's how we build our self-managed Excel team.   Jason Hull (34:51) Wow, yeah, it's really cool. I love the idea of, normally in the past, historically, I wasn't really a big fan of BHAGs, like big hairy audacious goals, because it was unrealistic, I thought. But I recently was in Mexico and I was hanging out with Ben Hardy. And he wrote this amazing new book called The Science of Scaling. And he talks about the importance of having impossible goals. And unless the goal is impossible, because he says if a goal is realistic,   Steve Trang ObjectionProof.ai (35:13) Mm-hmm.   Jason Hull (35:17) then that means basically you're operating on your current limited level of thinking and your brain has nothing to work on. And as good as AI is, our brain really is like a quantum computer. It's like this masterful supercomputer that can create whole worlds. Our unconscious mind can do amazing things in the background. But unless we give our brain impossible goals to achieve, our brain doesn't even work to formulate new paths or new ways of thinking. It gets us out of our current prison of thinking. And so   Steve Trang ObjectionProof.ai (35:24) Nothing to strive for.   Jason Hull (35:45) This is where I think having really big impossible goals gives you a completely different path than a linear realistic goal. so, you know, I think what I've noticed with AI, and you can test this with AI, like just say, if I want to get from zero to a thousand Instagram followers in a year, what would be my path? And it's gonna give you a pretty predictable linear path. But if you say, how do I get to a million followers in a month, for example?   super impossible, how could that be possible? You're gonna get a completely different path, right? And so the path, you know, having better goals or unrealistic or impossible goals allows your brain in the background to come up with new ideas. So I came back from Mexico, I was like, how could it close 100 deals in a month instead of 10? It's impossible. How could I do that? And I figured it out. It took me a week and a half, my brain just figured it out. I'm like, I have to...   Steve Trang ObjectionProof.ai (36:18) True. Yeah.   Jason Hull (36:43) cancel 60 to 70 % of my calls. Anyone like doesn't confirm I have to get them off my plate. I have to have my setters feed them through a different funnel. And so we have a slow lane, middle lane, and I'm fast lane. I would have to, so we re-engineered our entire sales process and I did it in like a day. I did it in a day, maybe two. And I rebuilt everything because I had to create a completely different path in how we were doing it. Cause my current thinking,   well, my previous level of thinking realistic in order to get my company to be at X millions of dollars, you know, bigger than it is now. I was like, I'm going to have to hire like, it was a linear path. I'm like, I'm doing X. I'm going to have to hire 10 closers, 30 setters. And like it was, yeah. And I'm going to have to build this team. And I didn't even want to do it because that sounded so uncomfortable. And now we closed just about as many deals last month as we did the month before, but   Steve Trang ObjectionProof.ai (37:27) Yeah.   Jason Hull (37:39) our sales calls, at least for me, were like a tiny, tiny fraction because we had made the process so much more efficient because without really, you know, impossible goals, we optimize for the wrong things. And I was optimizing for just increasing this linear difficult path instead of looking at how could I eliminate 90 % of the calls and still have the same close rate? That's a completely different path, right?   Steve Trang ObjectionProof.ai (37:45) Yeah.   Yeah, well, I think you're asking your previous questions with the brand you had, right? And so we need to ask different questions with a different, with, yeah.   Jason Hull (38:12) length, which was a brain that was focused on reality. And reality kept   me stuck in the same place for years. And so now I see a path where we can get much larger, much quicker, but it's because I changed my brain's focus into the playground of impossible goals instead of looking at realistic goals, which usually are just a punishment tool that we measure ourselves by.   Steve Trang ObjectionProof.ai (38:34) And it's uninspiring.   We're not getting out of bed for realistic goals. And also, in sales, like,   We get punched in the mouth all day every day. Why would you not want to build your dream life? If we're going to do the difficult things, it should be incredibly rewarding.   Jason Hull (38:44) Ahem.   Yeah. Yeah, we get a lot of people coming into the property management industry from the real estate industry, because they're tired of the hunt and chase of deals and getting punched in the mouth. They're like, how do I build a residual income subscription model business that scales and grows, that's systemizable and do that. But a lot of our clients have a brokerage and they have property management, like most of them. They do both. But the   And once the property management business is healthy, it feeds them plenty of real estate deals because investors are always doing deals.   Steve Trang ObjectionProof.ai (39:23) Right. Yeah.   Jason Hull (39:24) So anyway, I know, Steve, maybe we should hang out later and come up with some cool ideas together. But yeah, this is really fun stuff to chat about. you know, this probably we could talk about AI probably all day. It's like a big focus of mine right now as well. I'm just super geeking out on it. What, you know, what maybe   Steve Trang ObjectionProof.ai (39:30) Absolutely, I'm game for it.   Yeah, I bet.   Jason Hull (39:47) Big takeaway, would you like everybody to get from listening to this podcast episode and then how could people, who are you looking for to connect with objection proof? And, cause I'm sure some of my audience are your audience as well. And, and how can they get in touch with you?   Steve Trang ObjectionProof.ai (40:03) Yeah, so I think the big takeaway, I mean, we already beaten it quite a bit, but I just want to really emphasize, this is a pivotal moment in time. This is like the dot com era, right? This is like when things started getting online. There are going be a handful of people that are going to make a stupid amount of money in this period of time. And so the same question I always ask is, why not you? Right?   Jason Hull (40:25) Yeah.   Steve Trang ObjectionProof.ai (40:26) So like if you're afraid just start because the reality is like AI will coach you on how to use AI. So just start. I'll say that and then you know the if someone wants to check out what we do I have a URL objectionproof.ai you can upload any sales call through text. It's gonna be a text file. It can be transcription. It can be WAV, M4A, MP3, whatever you can upload it. There's no charge you can use as many times you want. My team hates when I say that but   You upload it for free and it will evaluate your sales call, will email you the results. That's a free tool we have. Also, if anyone wanted to role play with our boss, you can text roleplay, that's one word, to the phone number 33777. And if anyone wants to check out our lead manager, you can text AI space caller, AI caller, to the same number 33777. Again, both of those are free. We're not charging anything for those.   It really is just a demonstration. All three are real demonstration of our actual product in action. And then we give that for free. Now you are going to have to talk to someone on my team. But you'll hear what our salespeople sound like as well. Or you can just ignore it. Either way is fine. But if nothing else, just check it out because you can see the direction we're heading. look, I've heard people say this over and over again. I always kind of like roll my eyes when they say it. But it's still true.   Jason Hull (41:34) Yeah.   Steve Trang ObjectionProof.ai (41:47) The version of AI today is the worst version you'll ever deal with. Because it's only getting better.   Jason Hull (41:51) Yeah.   Yeah, and it's crazy. It's really insane how quick things are changing. It's just speeding up faster and faster. So, all right, well, Steve, great having you on the show. Appreciate you hanging out with me. Those of you watching, if you are a property management business owner, you've ever felt stuck or stagnant, you want to take your property management business to the next level, reach out to us at doorgrow.com. We can help.   Also join our free Facebook community just for property management business owners at doorgrowclub.com. And if you found this even a little bit helpful, don't forget to subscribe and leave us a review. We'd really appreciate it. And until next time, remember the slowest path to growth is to do it alone. So let's grow together and guess with AI. Bye everyone.

Send us a textThis week on The Wall Street Skinny, we sat down with Gene Tannuzzo, Global Head of Fixed Income at Columbia Threadneedle, right as the Federal Reserve's latest rate decision hit the wires. We walk through the live market reaction to the Fed's 25 basis point cut, the dissenting voices on the FOMC, and what this move signals about the central bank's shifting priorities. For those curious about how policy decisions ripple into real-time trading activity, this episode gives you a rare seat at the table during the announcement itself.As Gene explains, the flatness of today's yield curve and the Fed's projections for additional cuts this year underscore the tension between slowing labor market data and still-stubborn inflation. We dig into the nuances of steepeners versus flatteners, what the dot plot is really telling us, and how fiscal policy plays into the broader bond market narrative. Whether you're an experienced market watcher or just starting to understand the dynamics of Fed meetings, you'll come away with a much clearer framework for interpreting these moves.We also broaden the conversation to explore structural shifts in the economy, including labor force trends, immigration, and the role of AI in reshaping productivity and capital spending. Gene helps break down why funding markets matter, how balance sheet policy can contradict rate policy, and what investors should watch for as the Fed balances credibility, growth, and inflation risk. The result is a lively, insightful discussion that blends market theory, policy analysis, and practical trading perspective.For a 14 day FREE Trial of Macabacus, click HERE For 20% off Deleteme, use the code TWSS or click the link HERE! Sign up for our LIVE Virtual Bootcamps! 2-Day Financial Modeling Bootcamp Master the technical Excel and accounting skills essential for investment banking, private equity, and fundamental investing. (Learn more HERE) Global Markets & Investing PlaybookA one-day crash course on the financial ecosystem, perfect for anyone seeking a big-picture understanding of how global markets and Wall Street fit together. Our content is for informational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice. (Learn more HERE)

Let's face it.....life be lifin'. But what if you stopped white-knuckling your way through the storm and just… let it do what it do? In this beautifully raw and refreshingly real episode of Life as P..., Phoenix Ash invites you into her mental notes app of survival, struggle, and straight-up spiritual glow-ups. From wrestling with fears that exist only in our heads (hello, F.A.E: False Avidence Evidence

In this episode, Excel Joab takes us through his rise in Nigeria's music industry, beginning with his early days as a writer capturing the culture around him. He shares the pivotal moment when MI Abaga challenged him to move beyond commentary, a conversation that changed the course of his career and set him on a path into the business of music. Excel reflects on his role at Boomplay, where he contributed to building Africa's streaming culture, and the lessons that shaped his outlook after leaving the platform. Hosted on Acast. See acast.com/privacy for more information.

Shawn Dsouza: From AI Anxiety to AI Advantage: A Scrum Master's Experimental Approach Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Shawn faces the massive AI transformation currently reshaping the tech industry, acknowledging both its benefits and the fear it creates among professionals questioning their relevance. In his organization, he witnesses AI delivering wonders for some teams while others struggle and lose projects. Rather than viewing AI as an overwhelming wave, Shawn advocates for experimentation. He shares practical examples, like helping a Product Owner streamline story creation from Excel to JIRA using AI tools, and leveraging MIRO AI for team collaboration. His approach focuses on identifying friction points where AI experiments could add value while keeping conversations centered on possibilities rather than fears. Self-reflection Question: Instead of fearing technological changes like AI, how can you create small experiments to explore new possibilities and reduce friction in your current work processes? [The Scrum Master Toolbox Podcast Recommends]

OpenAI has launched a beta version of Developer Mode for ChatGPT, which allows developers to utilize full read and write support for model context protocol tools. This new feature promises to enhance automation capabilities, enabling developers to create connectors for various applications, such as updating JIRA tickets or triggering workflows in services like Zapier. However, the introduction of this feature raises significant security concerns, particularly regarding the potential for prompt injections and the risk of malicious users exploiting these capabilities to access sensitive information. As the industry rapidly adopts this model context protocol, the need for secure configurations becomes increasingly urgent to prevent data breaches.In addition to Developer Mode, OpenAI has released GPT-5 Codecs, a large-language model optimized for coding tasks. This new model has reportedly led to a tenfold increase in usage among developers within a month, largely due to its integration with GitHub for dynamic code reviews. The Codex model has been trained on real-world coding tasks, making it a powerful tool for software engineers. Developers are already recognizing its potential to identify complex bugs that other tools may miss, which could lead to higher quality code and faster delivery cycles.Microsoft is also making strides in the AI space by introducing free co-pilot chat features in its Office applications for all Microsoft 365 Business users. This update includes a co-pilot chat sidebar in key applications like Word, Excel, and Outlook, allowing users to draft documents and analyze spreadsheets without needing an additional co-pilot license. While the premium version offers enhanced capabilities, the free features change the baseline for AI accessibility, putting powerful tools in the hands of every employee and raising concerns about shadow IT.On the cybersecurity front, the U.S. government has redirected crucial funding originally allocated to combat threats from Huawei towards tax cuts for wealthy individuals and corporations. This shift has left national security at risk, as projects aimed at enhancing U.S. cybersecurity and infrastructure suffer from a lack of follow-through. Meanwhile, the Department of Defense is set to implement its Cybersecurity Maturity Model certification requirements, which will be mandatory for defense contractors. As scammers increasingly target small businesses with fake reviews, the need for effective cybersecurity measures and compliance becomes more pressing for service providers.Four things to know today 00:00 AI Becomes Default: OpenAI Expands Workflows, Microsoft Democratizes Copilot, and Licensing Chaos Grows07:19 Huawei Money Gone, CMMC Is Here, and Your Reviews Are Under Attack10:04 Devicie, Zensai, and Apple Redefine Value: Automation, Adoption, and Repair Access12:57 Twice the Reach, No More Cash: Broadband Program's Success Meets a Dead EndThis is the Business of Tech.     Supported by: https://scalepad.com/dave/Webinar:   https://bit.ly/msprmail  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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In Episode 93 of the Digital Velocity Podcast, Erik Martinez sits down with Ginger Grant, a seasoned data strategist, to explore how artificial intelligence and machine learning are reshaping the fundamentals of business analysis and decision-making.  Ginger shares her unique perspective on the crucial distinctions between generative AI and machine learning, highlighting why accuracy, data quality, and the right questions matter more than ever. She explains why companies must address messy, fragmented data before they can effectively harness AI, and how grounding models in proprietary data unlocks more reliable business insights.   Listeners will gain insights into: • Why machine learning has a more immediate impact than generative AI for business-critical tasks • The persistent challenge of data organization and the dangers of Excel-driven reporting • How companies like Goldman Sachs are grounding AI models in proprietary data to achieve accuracy • Why dashboards and rote reporting are ripe for automation—and where humans remain indispensable • How leaders can encourage AI adoption without stoking fear of job loss, through training and intentional change  For direct-to-consumer marketers and cross-industry leaders alike, Ginger offers actionable guidance on how to move beyond data collection toward true business impact. From defining success metrics to ensuring critical thinking remains at the core of analysis, this episode is a must-listen for executives and marketers preparing to navigate the future of AI-driven decision-making. 

Get AudioBooks for FreeBest Self-improvement Motivation10 Jim Rohn Principles to Excel in Any Area of LifeGet AudioBooks for Free⁠We Need Your Love & Support ❤️https://buymeacoffee.com/myinspiration#Motivational_Speech#motivation #inspirational_quotes #motivationalspeech Get AudioBooks for Free Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

¿Preferirías 50 millones de dólares en tu cuenta bancaria o un robot mágico capaz de darte absolutamente todo lo que deseas?

In this episode, we're joined by David C. Brown, Associate Professor of Finance at the University of Arizona, for a deep dive into the mechanics, performance, and pitfalls of target date funds (TDFs)—the most common investment vehicle in U.S. retirement accounts. David has spent years researching glide paths, benchmarking methods, and industry practices to uncover whether these “set it and forget it” funds actually serve investors well. We unpack why benchmarking TDFs is so difficult, what really drives their underperformance, and how tactical deviations from strategic glide paths often harm investors. David explains how fees, active management, and fund structure combine to create persistent drag—and why dispersion across TDF providers is shockingly wide. We also discuss behavioral challenges, the influence of glide path design, and whether innovations like “indexing the indexers” could improve outcomes. David also shares insights on his side project, the Microsoft Excel Collegiate Challenge, where students compete in gamified problem-solving competitions (yes, Excel on ESPN!), and reflects on his own definition of success. This conversation sheds light on a massively important—but often misunderstood—corner of the retirement landscape, giving investors and plan sponsors practical tools to demand better.   Key Points From This Episode: (0:05:20) What a Qualified Default Investment Alternative (QDIA) is and why TDFs became the default in 2006. (0:05:50) How target date funds work as “one-stop shops” for retirement savings. (0:07:12) The glide path concept: why equity allocations decrease with age. (0:08:04) Why comparing TDFs is hard—fund families design glide paths differently. (0:10:37) David's benchmarking approach: replicating TDFs with index funds. (0:15:13) The performance gap: ~1% annual underperformance versus replicating benchmarks. (0:15:50) Main culprits: higher fees (~55 bps) and poor active management (~45 bps). (0:18:20) Good news: costs have declined—but dispersion across providers remains massive. (0:20:09) Evidence of wild return differences: up to 23% in a single month across vintages. (0:21:32) Why plan sponsors and investors aren't reacting to poor performance. (0:25:33) The debate over optimal glide paths—and why the jury is still out. (0:29:15) Tactical deviations: managers shifting allocations beyond the strategic design. (0:33:06) These tactical moves hurt performance (~10 bps on average). (0:35:49) Evidence of return chasing in TDF management. (0:39:07) Big picture: TDFs are a huge improvement over money market defaults, but dispersion and inefficiency remain. (0:42:48) David's views on Scott Cederberg's 100% equity lifecycle portfolio research. (0:45:22) Behavioral challenges: why defaults and illiquidity may help investors stay the course. (0:50:57) The Microsoft Excel Collegiate Challenge—Excel as an esport. (0:52:50) How David defines success: balance, impact, and growth. Links From Today's Episode: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder Website — https://rationalreminder.ca/  Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on X — https://x.com/RationalRemind Rational Reminder on TikTok — www.tiktok.com/@rationalreminder Rational Reminder on YouTube — https://www.youtube.com/channel/ Rational Reminder Email — info@rationalreminder.ca Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore Cameron on LinkedIn — https://www.linkedin.com/in/cameronpassmore/   Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

We've never had sex with a hamburger... but maybe we will after today's episode. Let's talk about that, the worst advice from an implied expert in his field, spraying disabled kids with your sprinkler system while they load and unload the school bus, wearing the perfect pajamas to fight crime, and more on today's episode of Can You Don't?! *** Wanna become part of The Gaggle and access all the extra content on the end of each episode PLUS tons more?! Our Patreon page is LIVE! This is the biggest way you can support the show. It would mean the world to us: http://www.patreon.com/canyoudontpodcast ***New Episodes every Wednesday at 12pm PSTWatch on Youtube: https://youtu.be/KGlcOzKXoaUSend in segment content: heyguys@canyoudontpodcast.comMerch: http://canyoudontpodcast.comMerch Inquires: store@canyoudontpodcast.comFB: http://facebook.com/canyoudontpodcastIG: http://instagram.com/canyoudontpodcastYouTube Channel: https://bit.ly/3wyt5rtOfficial Website: http://canyoudontpodcast.comCustom Music Beds by Zach CohenFan Mail:Can You Don't?PO Box 1062Coeur d'Alene, ID 83816Hugs and Tugs.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.