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by Dave Goyal
Whether you’re curious about how AI might impact you, an AI enthusiast looking for the next big thing, or an AI skeptic trying to implement AI for your personal or organizational growth, there’s something for everyone!Please join me !
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🎙️ AI Is Not Magic, It Is A Tool | Rob MilsteadSix months ago, companies were measuring employees by how many AI tokens they burned. Then people blew through millions of dollars.Rob Milstead has led technology for 30+ years as a CIO, Chief Digital Officer, and Chief Strategy Officer, from Genuine Parts (NAPA) to a faith-based nonprofit, and today as CIO of Intertape Polymer Group. He has no computer science degree. His undergrad is in music. He calls himself the cartilage between tech and business.We talk about why his team picks the cheapest model that works, why the CFO must get the same answer every time, how to sell a "boring" data project, and why people matter more than any tool.In this episode:00:00 Meet Rob Milstead01:11 Why a CIO sits on an AI startup board04:16 "I am the cartilage" of tech and business08:24 The in-store kiosk patent and the torn catalog13:22 Never say "PIM" to an executive15:14 AI is not magic: the boardroom trap19:28 Why the newest model is not always the best23:59 Gross or net? Data context and security for AI28:03 How to sell a data project nobody wants32:05 IT as a thought partner, not a gatekeeper35:08 Startups, music, and making it simple39:01 Don't forget your peopleWhich of your AI projects is chasing the hottest model instead of a real problem? Tell me in the comments. Subscribe for more honest talks with leaders who have done the work.🔗 Links & ResourcesRob Milstead on LinkedIn: linkedin.com/in/rob-milstead-4391b5/Dave Goyal: davegoyal.com | linkedin.com/in/davegoyalData AI Studio: dataaistudio.com
🎙️ Your AI Advisor Should Argue With You | Andrew IzyumovMost AI just tells you what you want to hear. When it's your life savings, that's dangerous.Andrew Izyumov spent 12 years at Goldman Sachs investing the firm's own money. Then he built an AI advisor with five agents, one of them a risk officer whose whole job is to disagree. It costs a flat $30 a month and never holds your money.I've spent 30 years telling companies the hard part of tech is trust. This talk proves it.In this episode:00:00 Why trust is the real AI problem01:15 My $10,000 lesson in one day02:37 From Goldman Sachs to $30 a month06:39 Five AI agents built to disagree10:13 Why AI agrees with you, and how to fix it12:40 The emotional money mistakes we all make17:21 Real estate, bonds, crypto and startups22:29 A second opinion, not a crutch27:31 How to teach kids to invest31:09 The one thing AI should never decideWhich of these would you trust AI with? Tell me in the comments. And subscribe so you don't miss the next Think AI Podcast.🔗 Links & Resources8 Figures: 8figures.comAndrew on YouTube: @8FiguresHQAndrew on LinkedIn: https://www.linkedin.com/in/andrewizyumov/#ThinkAI #AIinFinance #Investing #AgenticAI #DaveGoyal
🎙️ AI Tools Don't Win. Culture Does.What happens when a can of beans ships with beets inside, right before Thanksgiving? At Del Monte Foods, AI turned it into a moment customers loved and a plant team that owned the fix.My guest is Prathima Hegde, CIO of Del Monte Foods, with 20+ years leading technology, data, and AI across food, beverage, and pharma, from Tropicana to Abbott. We talk about the part of AI most companies skip. Not the model. The culture.Prathima shares why the CIO job never really changed, why messy and missing data is still the biggest hurdle, what the AI world can learn from pharma, and the one call she will never hand to an agent.In this episode:00:00 Intro01:07 How agents and Copilot changed the CIO job03:09 From solo productivity to team value04:56 The Thanksgiving beets in the beans can story08:15 Agents in a traditional company: the data problem 11:40 What AI can learn from pharma16:55 Handling fear and pushback on AI20:05 The one decision she won't give an agent23:12 When to use AI and when not to27:11 Building a dashboard with AI, fast30:32 Where to find PrathimaIf your team puts up with AI instead of working with it, this one is for you. Subscribe for more real conversations on data and AI. What is one decision you would never hand to an agent? Tell me in the comments.🔗 Links & ResourcesPrathima Hegde on LinkedIn: https://www.linkedin.com/in/prathima-b-hegde/Dave Goyal on LinkedIn: https://www.linkedin.com/in/davegoyal/#DaveGoyal #ThinkAI #AgenticAI #CIO #AIAdoption
🎙️ AI Won't Fix Bad Data. It Exposes It. | Dave MurrayTwo reports. Two different numbers. One very long meeting.Dave Murray has spent 20+ years inside manufacturers fixing the part of AI nobody posts about: the data. He built the data foundation at Bose, then built Welch's AI program from zero, work Bentley University turned into a case study. Now he leads AI enablement at FXI.We talk about why messy data makes AI worse, how a bedtime story exercise turned casual users into power users, and why he never starts a process conversation by talking about AI.In this episode:00:00 Meet Dave Murray01:47 What changed from Bose to Welch's to FXI05:28 Two reports, two numbers: how analytics led him to data09:05 14 revenue metrics and a company that went bankrupt11:46 How to sell data management to executives15:08 The Best Buy deadline that made master data matter18:55 Building Welch's AI program from zero22:40 The bedtime story trick behind the Bentley case study27:31 From RPA to AI: train it like a new employee34:20 The pool ball rule for AI in manufacturing37:30 Why AI should lay out your three outfits42:49 Pilot first, data first, foundation first, then buildGuest views are his own and do not represent FXI.Which part of your business still runs on "my number is right"? Tell me in the comments. Subscribe for more real talk on data and AI.🔗 Links & ResourcesDave Murray on LinkedIn: https://www.linkedin.com/in/dave-w-murray/Dave Goyal on LinkedIn: https://www.linkedin.com/in/davegoyal/#DaveGoyal #ThinkAI #AI #DataGovernance #Manufacturing
🎙️ Why AI Fails Without Clean DataDoug Saunders has spent 28 years running technology in the businesses nobody posts about: waste, ice, coal, cold chain logistics, and now frozen cheesecake. He is CTO at Sara Lee Frozen Bakery, and his position on AI is refreshingly unpopular. You do not throw AI at a business for the sake of it. You find the business problem, you fix the data underneath it, and only then does the technology earn its budget.In this conversation with Dave Goyal, Doug walks through what that actually looked like in production, including a distribution problem solved with LiDAR sensors and predictive routing that took twenty to thirty million dollars of cost out of an ice company, and a customer service bot that absorbed 500,000 interactions a year.In this episode:00:59 A master's in Russian history, then golf course design, then CTO04:09 Walking into food manufacturing and finding the silos07:03 Why data has to come before AI08:49 Building a $180M company off QuickBooks10:25 Your LLM has no idea what your data means14:44 Don't throw AI at a business for business sake16:20 The ice box problem that saved $30 million21:30 Automating 500,000 customer interactions a year23:56 Automating to get rid of people is the wrong approach32:51 Trust versus governance, and the Excel experts who resist36:20 The end of Excel jockeying39:21 Fitting master data governance to your cultureIf you are being asked to "do something with AI" before your data is ready, this one will give you the language to push back. Subscribe, and tell me in the comments what your organization automated too early.🔗 Links & ResourcesDoug Saunders on LinkedIn: https://www.linkedin.com/in/dgsaundersDoug Saunders on Youtube: https://www.youtube.com/@SaundersdgSara Lee Frozen Bakery: https://saraleefrozenbakery.com/#DataStrategy #AIinManufacturing #SupplyChain #CTO #PrivateEquity
🎙️ Fix the Process First: Two Founders on Automating for RealMost founders build a business that ends up owning them. Noemi Kis did the opposite. She built a seven-figure industrial water treatment company with a team of two, systemized it until it ran without her, and now spends about one hour a week on it while teaching 200,000+ non-technical founders how to run lean with AI.In this episode, Dave and Noemi compare notes on what AI automation actually looks like in production, where humans still have to stay in the loop, and why refining a process before you automate it is the difference between leverage and expensive chaos.In this episode:00:00 A seven-figure business run by two people02:02 The moment she realized effort had stopped equaling results05:14 Why the business model matters more than the hustle08:05 Running a company on one hour a week with EOS09:40 The "lazy CEO" mindset that protects your energy15:25 Can they do it, and do they want it? Hiring filter17:22 Don't automate chaos: fix the process first20:35 Voice DNA, redlining, and how to avoid AI slop22:34 Creating content for non-followers, not followers26:57 Her live trend-scouting agent stack with human review30:35 The $2,000 lesson in AI cost control37:01 How Dave runs multi-agent memory across Claude, Obsidian and Notion40:49 What happens to a job description when AI takes the taskIf you are sitting on a business that owns your week, this is the one to listen to. Subscribe, drop a comment with the first task you would hand off, and send this to one founder who needs it.🔗 Links & ResourcesGuest website: https://www.fastestgrowingtrends.com/Noemi on LinkedIn: https://www.linkedin.com/in/noemikis/Noemi on Instagram: https://www.instagram.com/kis_noemi/Dave on LinkedIn: https://www.linkedin.com/in/davegoyal/#AIAutomation #FounderMode #LeanBusiness #AIAgents #Entrepreneurship
🎙️ Skills Are Teachable. Identity Isn't. | Abhijit Bhaduri (Abhijit Bhaduri LLC)The AI conversation is stuck on skills: learn AI or get replaced. Abhijit Bhaduri says that misses the real threat entirely. AI can learn any skill you bring to the table. What it cannot replicate is what you feel when you do the work, and that is where the identity gap opens up.Abhijit is CEO of Abhijit Bhaduri LLC and has led talent strategy inside some of the largest companies in the world: Wipro's first Chief Learning Officer, Global Head of Learning & Development at Microsoft, and HR leadership at PepsiCo, Colgate-Palmolive and Tata Steel. He is a LinkedIn Top Voice with over a million followers, SHRM's #1 HR influencer on social media, author of six books including Career 3.0, and his seventh, AIdentity, is coming later this year. In this conversation he and Dave land on the same conclusion from opposite ends of the room: the companies winning with AI are not the ones with the best models. They are the ones solving the people problem underneath.In this episode: 00:00 Meet Abhijit: from CLO to a million followers 02:03 The guitarist who plays every genre 04:37 The biggest myth in every company: money motivates 06:59 Dave: judge people by their opportunities, not their limitations 09:36 What the identity gap actually is 11:45 Why AI makes everything average (the Picasso test) 14:11 You bought the piano but skipped the lessons 16:45 The man training AI at the cost of his kid's job 20:12 Keystroke logging kills innovation 25:56 Why sharing knowledge is now a superpower 31:07 The new book: AIdentity 34:43 Introduce yourself without your title or employer 36:50 The 80/20 future: work like water, not ice 41:05 Tokens as currency and identity as the new talent layer 44:44 The one failure Abhijit still carriesIf this conversation changed how you think about AI, your team or your own work identity, subscribe to the Think AI Podcast, drop a like, and tell us in the comments: how would you introduce yourself without your title?🔗 Links & ResourcesAbhijit Bhaduri on LinkedIn: https://www.linkedin.com/in/abhijitbhaduri/Abhijit's website and newsletter: https://abhijitbhaduri.com #ThinkAIPodcast #AIdentity #IdentityGap #FutureOfWork #AIAdoption
🎙️ Healthcare AI: The Hype Ends HereMost hospitals cannot answer one basic question: what AI is running on our network right now? James Green went from Pixar under Steve Jobs, to running the World Series of Video Games, to building the tech behind the NFL first down line, to CEO of Cognome, a healthcare AI company deployed in 20 hospitals including Montefiore and NYU Langone. In this episode, we strip the hype out of healthcare AI and talk about what actually works, what is genuinely dangerous, and the unintended consequence nobody is discussing: a billing system where nurses are expenses and AI is profit.In this episode: 00:00 From Pixar and esports to healthcare AI 01:46 Why healthcare is adopting AI 2.2x faster than other industries 12:15 AI Sniffer: finding every hidden AI on a hospital network 18:08 Ambient dictation and the wrong leg problem 21:55 The judge and jury system that kills hallucinations 26:17 Why missing context is the second most dangerous thing in clinical AI29:36 Silent mode: the right way to deploy AI with physicians 34:44 AI already beats doctors 99.9% of the time, with one catch39:42 Nurses billed like bed linen: the consequence nobody sees coming 43:34 LLMs are now healthcare's fastest growing cyber threat 46:52 The next 3 to 5 years: thousands of AI agents per hospital 49:32 What Steve Jobs was really like: seven reasons in 2.5 secondsIf this conversation made you think differently about AI in your industry, subscribe to the Think AI Podcast, drop a comment with your take on the nurse billing question, and share this with someone in healthcare who needs to hear it.🔗 Links & ResourcesCognome: https://www.cognome.comJames Green on LinkedIn: https://www.linkedin.com/in/jamesangreen/#ThinkAIPodcast #DaveGoyal #HealthcareAI #AIGovernance #ArtificialIntelligence
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Whether you’re curious about how AI might impact you, an AI enthusiast looking for the next big thing, or an AI skeptic trying to implement AI for your personal or organizational growth, there’s something for everyone!Please join me !
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