Think AI Podcast

🎙️ 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

🎙️ Speed Is No Longer a Moat | Alex Galert, BRNZEveryone in AI is racing to ship faster. Alex Galert, CEO of BRNZ, says that race is already over, and speed was never the real advantage. In this conversation he breaks down why accountability, not velocity, is the new moat, and how his studio builds complete AI-powered companies for equity, with a 67% founder floor in writing and zero investors.In this episode:00:00 The thesis: why speed stopped being a moat 01:31 The Hero Founder and 10,000 hours in one industry 08:55 Business for equity: how BRNZ actually works 14:14 The anti-VC model: no fees, equity only by shipping 18:54 Inside DUDE.AI and the five levels of AI autonomy 26:08 The dirty secret of AI-generated code, and a real data hole 31:48 The failure that changed how Alex builds 45:31 Can a company run with no humans? 55:02 Five moves you can make Monday morningIf you build with AI, this one will change how you think about shipping. Like, subscribe, and drop a comment with the one move you are taking into Monday.🔗 Links & Resources Website: [brnz.com] | [DUDE.AI] Guest LinkedIn: [Alex Galert] (comment BUILD on the pinned post for the BRNZ Playbook)WhatsApp: message DIAGNOSIS to [wa.me/491711254074] for a Startup Loop Diagnosis ▶️ #ThinkAIPodcast #DaveGoyal #AI #AgenticAI #Startups

🎙️ There Is No Magic Wand: What AI Can (And Cannot) Actually DoDilip Bagrecha built mission-critical financial systems at RBS and UBS where failure wasn't an option. Now, as founder and CEO of Wishtree Technologies, he's watching enterprises treat AI like it can solve everything—and it's not working. In this episode, we unpack why only 5% of enterprises have truly adopted AI, the reliability discipline that separates real engineering from hype, and the uncomfortable truth most AI consultants won't say out loud: there is no magic wand.In this episode:(00:00) The reliability standard that built global banking systems—and why AI ignores it(02:30) Why 99.9% uptime is a death sentence for enterprise deployment(06:15) The shift from "AI tools" to "AI teams"—what actually changes for leaders(14:00) How to spot which AI use cases will actually work (and which are technical debt waiting to happen)(20:45) The fixed-pricing trap: why outcome-based contracts don't work yet(28:15) The CFO mindset killing AI ROI: cost obsession vs. value obsession(36:00) Advice for the nervous mid-market CEO: think transformation, not tools(42:45) Why honesty is rare in AI consulting—and why Dilip refuses to play alongIf you're leading enterprise AI initiatives, skeptical of the hype, or about to invest in AI and want straight talk instead of magic-wand promises, this conversation cuts through the noise.Subscribe to Think AI Podcast wherever you listen and send this to a leader in your life who's buying AI or building their first autonomous system. You'll get answers differently.Links and Resources:Dilip Bagrecha on LinkedIn: https://www.linkedin.com/in/dilipbagrecha/Wishtree Technologies: https://wishtreetech.com/Think AI: https://thinkaicorp.com/#EnterpriseAI #AIAdoption #FinTech #AIConsulting #ProductEngineering #AINative

🎙️ The Myth of Too Small to HackTom Kirkham, founder and CEO of Kirkham IronTech and two-time Amazon bestselling author of Hack the Rich, sits down with Dave to break down how AI has turned phishing and ransomware into a high-volume numbers game, and why he says over 90% of breaches still come down to one thing: human failure.In this episode:00:00 Tom's ISIS kill list story and why "why would a hacker want me" is the wrong question03:37 How AI personalizes phishing emails at scale08:41 The Colonial Pipeline attack and why small businesses are the real targets12:43 Why 90%+ of breaches are human failure, not a tech failure17:51 The three things every business needs: awareness training, EDR, and MFA27:01 Why your CFO should never run IT36:35 Shadow AI and why privacy is security49:02 Is a global cyber pandemic already here?59:49 Hacking's GDP is bigger than most countriesIf you run a business of any size, this episode will change how you think about risk. Like, subscribe, and drop a comment on the one thing you're going to fix this week.🔗 Links & ResourcesBooks by Tom Kirkham: Purchase on AmazonKirkham IronTech: kirkhamirontech.comFollow Tom Kirkham on LinkedIn: https://www.linkedin.com/in/tomkirkham/#CyberSecurity #AI #Ransomware #ThinkAIPodcast #Leadership

🎙️ Data First, AI Second, People Always | Scot Burdette, ABB CIO"𝗧𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗶𝘀 𝗮 𝘁𝗼𝗼𝗹, 𝗯𝘂𝘁 𝗶𝘁'𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻." - Scot BurdetteScot Burdette runs digital transformation at ABB across 3 business lines, 60+ countries, and 17 factories. 40 years in technology, from HP and EDS to global division CIO, and a 2025 Ohio ORBIE Awards global finalist. In this conversation with Dave Goyal, he lays out a simple order of operations: 𝗗𝗮𝘁𝗮 𝗳𝗶𝗿𝘀𝘁. 𝗔𝗜 𝘀𝗲𝗰𝗼𝗻𝗱. 𝗣𝗲𝗼𝗽𝗹𝗲 𝗮𝗹𝘄𝗮𝘆𝘀.We get into the unglamorous data plumbing nobody celebrates, why a demo is the easy part, what good data means across 60 countries, capturing hard-won knowledge before people retire, and how the CIO role moved from the basement to the boardroom.If you lead data, AI, or a team through change, this one is for you.⏱️ Chapters:00:00 Meet Scot Burdette: 40 years, 60+ countries, 17 factories01:01 A day when one decision touches 60 countries03:34 Using AI to run his own calendar and time05:30 Why expecting AI to be perfect on day one backfires06:54 The multi-year build for end to end order automation09:33 What good data actually means across 60 countries13:49 Why the data plumbing has to come first14:56 Building a demo is easy, the foundation is hard17:12 Capturing tribal knowledge before the retirement wave21:13 Why the team, not the tech, are the rock stars23:40 Right people, wrong seat25:44 From the basement to the boardroom27:54 Will AI take jobs? AI as a tool29:38 Teach kids to use AI, not just build it32:30 Data and AI: transformation and adoption🎧 Watch or listen:YouTube: https://youtube.com/davegoyalSpotify: https://open.spotify.com/show/7z6mVpTBjbqwuAgLtxgoSq?si=1171658bc9e944afApple Podcasts: https://podcasts.apple.com/us/podcast/think-ai-podcast/id1884395529About the Think AI Podcast:Dave Goyal sits down with the operators and leaders putting AI and data to work in the real world, minus the hype. New episodes weekly.#ThinkAIPodcast #DataStrategy #AILeadership #CIO #DaveGoyal

🎙️ Prescription Before Diagnosis is Malpractice | Sung Paik, Data QI"Prescription before diagnosis is malpractice." Most AI is sold backwards, and Sung Paik came with the autopsy. In this episode, Dave Goyal sits down with Sung Paik, VP of AI Go-To-Market for North America and Field CTO at Data QI, to break down why most manufacturing AI projects die in pilot purgatory, and what the 5 percent that actually work do differently.They get into the data foundation nobody wants to fix, the 6 percent output jump that added $3.6 million to one production line, the silver tsunami retiring out of factories, and why the operator on the floor, not the executive who signs the check, is the real buyer of AI.In this episode:00:00 Meet Sung Paik: finance, code, startup, and the sales number01:13 Prescription before diagnosis and the AI chasm of confusion03:22 Data before AI, and why data is never garbage05:43 The 6 percent output jump worth $3.6 million08:09 Walking away when the ROI isn't there11:31 How to say no to a client and still keep them15:08 Why the operator is the single most important person18:41 The silver tsunami and capturing institutional knowledge24:50 Assistant vs agent, explained simply34:52 Innovation sprints and escaping pilot purgatory53:40 What actually separates one AI vendor from anotherIf you build, sell, or buy AI for the factory floor, this one is a blueprint. Subscribe for more, drop your biggest AI-in-manufacturing question in the comments, and hit like if "prescription before diagnosis" just reframed how you think about AI.---🔗 Links & ResourcesData QI: https://dataqi.ai/Sung Paik LinkedIn: https://www.linkedin.com/in/sungpaik/Grow Without Sacrifice: https://growwithoutsacrifice.com/#AIinManufacturing #ManufacturingAI #IndustrialAI #AIStrategy #ThinkAIPodcast

🎙️ Meet My AI CrewI opened the garage door on the system that runs my company. Not a chatbot. A real crew of AI employees with names, jobs, and shifts that show up on my calendar every morning. I will not hand you the secret wiring, but by the end you will know exactly what is possible and have the shape to build your own.**In this episode:**00:00 The handbike and the garage door01:11 The real bottleneck was me03:24 What an AI employee actually is (not a chatbot)05:29 Meet the crew: Maya, Morgan, Sasha, Owen, Felix, Harper, FIO07:39 MCP vs API in plain English10:05 Inside Felix, my CFO financial cockpit16:41 Watching my AI employees clock in on my calendar24:25 A Fortune 500 back office for the cost of a coffee a dayIf you have ever felt like your business only moves as fast as you do, this one is for you. Subscribe for more, drop a comment with the first role you would hand to an AI employee, and if you want the step by step build, come join me.👉 Learn to build your own AI crew inside Grow Without Sacrifice: https://growwithoutsacrifice.com---#AIcrew #AIemployees #GrowWithoutSacrifice #SmallBusinessAI #SoloFounder

🎙️ The 5F's of a Legendary Life | Coach KevinCoach Kevin has coached more than 40,000 people across five continents, from everyday entrepreneurs to heirs and billionaires. In this episode he tells Dave Goyal what almost every single one of them got wrong about success, why his first three billionaire clients were suicidal, and how to build KPIs for the parts of your life that actually matter: your marriage, your kids, your fitness, your faith.We get into the Five Facets framework (Fitness, Faith, Family, Finance, Fun), why a grind season is fine but a "season" without an end date is just laziness, the teenager KPI that will rewire how you parent, and a brutally honest take on what AI is doing to entrepreneurs right now (spoiler: it lets you overclock until you melt).In this episode:00:47 The two truths almost no one will tell themselves03:16 Why coaching billionaires taught Kevin that money is not enough10:32 The Five Facets framework: Fitness, Faith, Family, Finance, Fun14:29 Deferring joy is the same as deferring profit19:25 How to set real KPIs for marriage, faith, and family31:30 Grind seasons are fine. Seasons with no end date are not.38:18 The KPI every father needs to be tracking44:36 The teenager hack: crossroads and giving them the radio53:46 AI is the tractor of the mind (and why it will melt you)59:04 The constraint you didn't choose but should be grateful for1:05:20 Love yourself warts and allIf this episode gave you a new lens, hit subscribe, drop a comment with the one KPI you're going to start tracking this week, and send it to the entrepreneur in your life who needs to hear it.---🔗 Links & ResourcesCoach Kevin: https://itscoachkevin.comGrow Without Sacrifice: https://growwithoutsacrifice.com/#ThinkAIPodcast #CoachKevin #Mindset #Entrepreneurship #LiveLegend

🎙️ Grow Without SacrificeThis is an episode about three things that looked unrelated and turned out to be the same thing: a composer, a hand bike, and an AI workforce. If you have ever felt like the business you built was the thing standing between you and the life you actually wanted, this one is for you. By the end, I'll show you how an AI workforce gave me back my Saturdays, my hobby, and my today.In this episode:00:00 The dark monitor moment that changed everything03:30 Why sacrifice doesn't bill you in hours05:30 The composer who stopped trying to play every instrument08:30 The Kishore Kumar song that reframed why I build AI10:30 AI as a cognitive prosthetic for the founders no one talks to15:00 Meet the AI team: Maya, Morgan, Sasha, Owen, Felix, Harper, Theo21:30 The hand bike: the real proof25:00 Where to start in your next 90 daysIf this episode lands for you, pick the one role you would hire first, write a one-page job description, and send it to me on LinkedIn. I'll tell you if it's the right place to start.🔗 Links & ResourcesLinkedIn: https://linkedin.com/in/davegoyal/Grow Without Sacrifice (Pilot Program): https://growwithoutsacrifice.com/Think AI Consulting: https://thinkaicorp.com/#GrowWithoutSacrifice #AIWorkforce #SoloEntrepreneur #DisabledFounder #DataAIStudio

🎙️ Why 90% of Manufacturing POCs Die with Naresh MehtaAfter 20+ years building enterprise tech for global manufacturers across India, Mexico, and the US, Naresh Mehta has lived through every wave from Excel dashboards to digital twins to agentic AI to physical AI. In this conversation, he gets blunt about why most manufacturing AI projects never make it to production, names a brand new trap nobody is talking about (intelligence silos), and walks through two real deployments that prove what works when you stop chasing the model and start respecting the plumbing.We get into a real agentic AI build that automated 65% of supplier risk monitoring at an industrial conglomerate (200+ risk parameters, 8 multi-agent workflows, 20+ back office roles redeployed instead of fired), an auto OEM physical AI build that cut defect rates 25 to 30% by shifting inspection left with situationally aware robots, where quantum actually fits before manufacturing leaders even start asking, why every enterprise needs an AI control plane (and why the database-deletion horror stories happen without one), and what to tell the AI curious, the AI enthusiast, and the AI skeptic.In this episode:00:00 Cold open00:17 Welcome to Think AI Podcast01:24 Meet Naresh: 20+ years across India, Mexico, US02:00 The inflection point: when AI moved from read about to ship on04:30 Pace of innovation vs. pace of adoption07:03 The POC mindset that kills 90% of pilots10:00 Data silos. Org silos. Now intelligence silos.10:30 AI is 5%. The plumbing is 95%.13:42 Real win #1: 65% supplier risk automation, 20+ roles redeployed17:30 Real win #2: Auto OEM physical AI cuts defects 25 to 30%22:28 AI meets quantum: why manufacturing should care now30:19 The AI control plane: business outcomes + trust outcomes34:00 The agent that deleted the database35:57 Known patterns vs unknown patterns: the real implementation gap39:14 What surprised me. What stayed boringly true.46:01 Four things every manufacturer starting today must do49:54 The cake analogy: build the slice first50:58 Advice to your early 2000s self53:09 Dave on building from a different lens (disabled, dyslexic)54:45 Naresh's 10-year-old kid published a coloring book on Kindle57:41 One message each: AI curious, AI enthusiast, AI skeptic1:00:43 The unsolved problem: AI optimization for live video1:02:36 Take one idea and turn it into actionIf you lead a plant, a network of plants, or any operation where AI has to survive shift three at 2am, this one is for you.Subscribe for weekly conversations on what AI is actually delivering for manufacturers and healthcare. Drop a comment on which silo (data, org, or intelligence) is biting you hardest right now.---🔗 Links & Resources- Naresh on LinkedIn: https://www.linkedin.com/in/naresh-mehta-53b1b437/- Think AI Consulting: https://thinkaicorp.com- Dave on LinkedIn: https://linkedin.com/in/davegoyal/#ManufacturingAI #AgenticAI #AIStrategy #DigitalTransformation #ThinkAIPodcast

The Long Arc of Data and AI with Reza RadReza Rad has watched every Microsoft data platform turn since SQL Server. 15-time MVP. Founder of RADACAD. Author of seven books. 10 million YouTube views. In this episode he tells Dave Goyal exactly which workforce AI is replacing, why your Copilot output is only as good as your star schema, and what a 22-year-old should spend the next two years learning if they want to survive the next decade.In this episode:00:00 Cold open: Who AI is actually replacing00:34 Welcome and intro01:48 What has actually changed and what has not in the AI era07:52 Why Copilot in Power BI fails on a bad data model10:39 The CFO who got the right Q3 number from stale data14:59 Why AI is replacing juniors, not seniors16:02 Real Fabric and AI customer outcomes20:39 Governance, F-SKUs, and the iceberg under every AI investment24:49 Mindset, energy, and surviving 20 years of platform turns29:36 What Reza would tell a 22-year-old today34:18 Power BI and Fabric Summit and why virtual beats in-person37:55 Music, pattern, and improvising inside structure42:13 What kept the content engine running for a decade44:01 One thing AI-curious, AI-enthusiast, and AI-skeptic should each learn this quarter47:02 New Zealand vs US adoption curves49:22 Closing wordIf this conversation helped you frame your own Power BI, Fabric, or AI strategy, share it with one teammate wrestling with the same questions. Subscribe for weekly conversations on building real AI in real companies.---🔗 Links and ResourcesRADACAD Academy: https://radacad.comReza on LinkedIn: https://www.linkedin.com/in/rezarad/Reza's books on Amazon: https://amzn.to/3QOdC4IPower BI and Fabric Summit: https://globalpowerbisummit.com/Think AI Podcast: https://bit.ly/ThinkAIPodcast#PowerBI #MicrosoftFabric #DataAndAI #Copilot #RADACAD

What do music and regulated manufacturing AI have in common? More than you'd think. Nilesh Maheshwari, founder of Emorphis, Emorphis Health, and Yuktra AI, joins Dave Goyal to unpack why the hardest places to deploy AI (pharma, healthcare, regulated plants) demand faithfulness over cleverness — and why structure and freedom aren't opposites.In this episode:00:00 Why a "knowledge thread" beats a database on the shop floor04:17 The real pain signal that built Yuktra (hint: it wasn't "we want AI")07:08 Guardrails for regulated AI — why clever LLMs are dangerous10:34 The plant-worker pushback that killed fancy AI answers13:23 Music, discipline, and how structure creates freedom18:54 What most US founders get wrong building with India teams21:07 Why there's no such thing as a "best product"29:22 Curious, enthusiast, or skeptic? Nilesh's take on AIIf you lead a plant, hospital, lab, or any regulated environment and you're wondering where AI actually fits — this one's for you.👉 Subscribe for more conversations on Data, AI, and the humans behind the systems.💬 Drop a comment: Are you AI curious, enthusiast, or skeptic?---🔗 Links & Resources- Yuktra AI: https://yuktra.ai- Emorphis Health: https://emorphis.health- Nilesh on LinkedIn: https://www.linkedin.com/in/nileshmaheshwari/- Dave on LinkedIn: https://www.linkedin.com/in/davegoyal/#ThinkAIPodcast #RegulatedAI #ManufacturingAI #PharmaAI #FounderConversations

What happens when a cybersecurity leader who has sat on every side of the tech table — customer, reseller, distributor, and vendor — decides the future belongs to AI? Alex Ryals, CISO and SVP at MicroAge (celebrating 50 years!), breaks down why most companies are getting AI security dangerously wrong, and what to do before you flip the switch on Copilot or any AI tool.In this episode:00:05 — Intro: Alex's rare career journey across all four sides of the tech channel03:47 — Why Alex traded global scale at TD SYNNEX for a smaller, more impactful role10:53 — As a CISO, how do you balance "move fast" with "stay safe"?14:02 — Shadow AI: the silent risk happening in your company right now18:46 — Building a Copilot sales assistant and using AI avatars on YouTube22:34 — Humanoid robotics, skills marketplaces, and where IT partners fit in25:51 — MicroAge at 50: bankruptcy, reinvention, and lessons for every tech company29:53 — Octum.ai: why data hygiene comes before any AI investment33:30 — First move for leaders who don't know where to start with AIIf you're a business leader sitting on the fence about AI, this episode will either push you off or hand you a map. Like, subscribe, and drop your biggest AI security question in the comments.🔗 Links & Resources[MicroAge YouTube Channel] — Search "MicroAge" on YouTube[Cybersecurity Deciphered] — Alex's personal channel: youtube.com/CybersecurityDecyphered[Think AI Consulting] — thinkaicorp.comDave Goyal - davegoyal.com[Add additional links here]AIGovernance #CybersecurityAI #MicroAge #ThinkAIPodcast #AILeadership

What happens when someone with 17 years of IT strategy experience gets a front-row seat to the AI transformation inside a global tech enterprise? Priya Udeshi is Chief of Staff to the CIO and Head of IT PMO, sitting at the intersection of AI strategy, governance, and execution. She shares how she balances enterprise-scale agent deployments with democratized AI for every employee, why old governance frameworks are breaking, and what CIOs need to do right now to stop falling behind.In this episode:00:00 Meet Priya Udeshi: From PMO leader to Chief of Staff05:25 AI curious vs. AI enthusiast vs. AI skeptic: Where do you fall?08:24 Enterprise search as the real solution to meeting overload11:59 Why PPM tools fail and what actually works18:55 AI is in the passenger seat, I’m driving22:31 AI doubles capability every 3.3 months. What that means by 203024:00 Agent sprawl is real and governance has to evolve31:16 Hallucinations: What’s working to contain them41:05 What CIOs should be doing RIGHT NOW44:33 Measuring AI-assisted engineering with real KPIs47:06 Priya’s 7-year-old built a children’s book with AI52:04 Trust your gut: Advice to her younger selfIf this conversation sparked something for you, hit Subscribe and drop a comment with your biggest AI challenge right now. New episodes every week.

🎙️ Inside the Factory: Real-Time AI Intelligence for Manufacturing | Think AI Podcast Ep. 3Your machines already know what's wrong — but nobody's listening. Dave Goyal takes you inside 4 real manufacturing companies to show how real-time data and AI transformed their operations. Plus: a 4-layer framework to get started and 7 AI use cases you can implement now.⏱️ In this episode:00:21 – Why your factory machines are smarter than your spreadsheets03:15 – The data silo problem: ERP, MES, and PLCs that don't talk06:30 – 98% exploring AI, only 20% ready — here's why08:45 – Case Study 1: Professional audio equipment13:00 – Case Study 2: Global outdoor adventure gear17:30 – Case Study 3: Medical devices (FDA compliance & traceability)22:30 – Case Study 4: Fall protection safety equipment27:00 – The 4-layer framework: ERP → Shop Floor → Analytics → AI32:00 – 7 AI use cases: predictive maintenance, computer vision QA & more42:00 – "My ERP handles everything" — why that's not enough46:00 – AI Tip of the Day: Analyze any spreadsheet in 60 seconds50:00 – Series recap and what's nextIf this changed how you think about manufacturing data, subscribe and share it with a plant manager, CIO, or operations leader who needs to hear it.🔗 Links & Resources📖 Real-Time Business Intelligence Mastery — DaveGoyal.com🌐 DaveGoyal.com💼 LinkedIn: Dave Goyal🎙️ Ep 1: Personal Journey & First AI Assistant | Ep 2: Healthcare & AIManufacturingAI #RealTimeData #SmartFactory #DataAnalytics #ThinkAIPodcast

The U.S. healthcare system loses $260 billion a year. Not from malpractice. From paperwork, billing errors, and missing data.In this episode, Dave Goyal — founder of Think AI (top 1% of 500,000 Microsoft partners), Harvard-trained in AI for healthcare — shares 15+ years of real healthcare projects. No theory. No hype.You’ll hear how he built a claims system from zero that generated $100M+ in annual revenue. How he designed data strategies for entire health networks. How he helped non-profit hospitals turn buried patient records into life-saving insights.Plus: six back-office AI use cases any healthcare org can start today, a straight-talk segment on privacy and HIPAA, and an AI Tip of the Day you can try in two minutes.Next up: Episode 3 — AI in Manufacturinglinkedin.com/in/davegoyal | davegoyal.com #HealthcareAI #RevenueCycleManagement #DataStrategy #ThinkAI #AIpodcast

Episode 1: From Leg Braces to Leading AI — My StoryWhat does a kid who couldn't walk in central India have to do with artificial intelligence? Everything.In this debut episode of the Think AI Podcast, Dave Goyal shares the unfiltered story behind the brand — from growing up with a physical disability in Indore, India, to building one of the top 1% Microsoft Data & AI consulting firms in the world. You'll hear about the father who carried him to school, the best friend who taught him to ride, 400 walk-in interviews in six months, building a system that took a medical device company from zero to $100M+ in revenue, and why he's now launching Data & AI Studio to make artificial intelligence accessible to everyone.This isn't a tech talk. It's a human story about resilience, reinvention, and what happens when you refuse to let anyone else define your limits.In this episode:Growing up with a disability and finding independence through a modified Vespa scooterThe blind musician friend who planted the first seed of entrepreneurshipFrom Silicon Valley biotech to white-hat hacking across 20+ countriesCo-founding Think AI and reaching the top 1% of Microsoft's 500,000 global partnersWhy a 95% project success rate in an industry that averages 50–70%The three coaching experiences that changed everythingIntroducing Data & AI Studio: community, packaged AI solutions, and coachingAI Tip of the Day: Build your first AI assistant in 10 minutes (full prompt included)Coming in Episode 2: A deep dive into healthcare and AI — real projects, real revenue, and what most leaders are getting wrong.Connect with Dave:LinkedIn: [Dave Goyal]Website: davegoyal.com