Ibm Analytics Insights Podcasts

Send us Fan MailRob May, Co-Founder & CEO of NeuroMetric AI, who’s revolutionizing how multi-model systems think and run, dramatically reducing expenses while boosting performance. Rob brings decades of experience as a founder, investor, and the creator of the popular ‘Investing in AI’ newsletter.01:05 Meeting Rob May04:22 The Investing in AI Newsletter06:50 Starting Neurometric11:39 Inferencing Defined16:12 Future Investing in AI20:24 Model Thinking w/ Guidance23:40 Neurometric, a Token Engineering Platform29:07 Data Center Investments30:42 Real AI ROI33:48 Where is the Smart Money Going?35:37 What AI Leaders Must Get Right39:09 Stock Picks40:32 Rapid FireWant to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailThis week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation.From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what's breaking, what's working, and what's next. Whether you're a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won't want to miss.01:15 Meet AJ Kulkarni 04:29 TigerData 07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData 16:05 AI is Everything 21:06 The Fastest Postgres 25:45 Advanced Features 28:53 Future of IoT 36:48 The Future of TigerData 38:03 San Francisco 38:26 A Big Bet 41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/ Website: https:

Send us Fan MailWe dive into the exciting world of autonomous AI agents with Matt Glickman, Co-Founder & CEO of Genesis Computing. Join us as we explore how this technology is shifting the role of the data engineer and redefining what's possible.02:36 Meet Matt Glickman 09:32 Frontier Models 17:14 The Origination of Genesis 18:51 What is an Autonomous Agent 30:25 Machines Have Our Code! 32:32 Genesis's AI Level? 34:54 Autonomous Agent Quality Control 38:30 Genesis Differentiators 40:58 The Pace of Finance and Healthcare 42:17 The Future of Data Engineers 44:06 Rapid Fire QuestionsLinkedIn: https://www.linkedin.com/in/matthewglickman Website: https://genesiscomputing.comWant to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple &

Send us Fan MailMaking Data Simple sits down with Dave Trieer, CEO of ModelOp, to explore therapidly evolving world of AI – particularly what happens when it starts actingautonomously. From safely deploying AI in regulated industries to navigatingcritical governance challenges, Dave offers invaluable insights on thistransformative technology.01:22 Meet Dave Trier04:22 The Terminator is Coming10:33 The Definition of Autonomous12:15 Pushing AI into Production17:33 AI Misconceptions21:12 Use Case Qualification22:53 ModelOp Value Prop29:59 The "One Thing" with AI Governance33:13 AI Regulation36:47 Predicting AI39:45 Lightening RoundLinkedIn: linkedin.com/in/davidetrierWebsite: https://www.modelop.com/Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while

Send us Fan MailIn case you missed it....For the Electrical Engineers in Test out there, this is your episode.  Todd VanGilder, CTO and CRO, and Ryan Smith, Tech Fellow, for Genuen join the podcast to talk about achieving reliable performance through Systems Engineering and Custom Test Equipment.  And their secret sauce: Replica.02:26 Meet Genuen Leaders08:33 Boeing09:21 Genuen15:11 2-min Pitch16:11 Client Profile18:25 Use Cases23:00 Replica33:10 Reflective Memory Secret Sauce37:16 Monetizing Replica40:06 Coolest Use Case41:42 True but No One AgreesLinkedin: linkedin.com/in/todd-vangilder, linkedin.com/in/hryansmith Website: https://www.genuen.com/Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailIn case you missed it.....RAG didn't just survive the LLM boom — it became the backbone of how enterprises put AI to work. In this replay, we sit down with Douwe Kiela, the AI researcher who led the team that introduced Retrieval-Augmented Generation in 2020 and went on to co-found Contextual AI. Douwe unpacks whether RAG is here to stay, why most enterprise AI dies in the gap between a great demo and production, how to tame hallucinations, and what actually separates a real "agent" from the buzzword. A clear-eyed conversation on building AI that's grounded, useful, and safe to deploy.00:46 Introducing Douwe Kiela 01:37 RAG - Here to Stay or Go? 06:59 LLMs with Context 08:20 Making AI Successful 10:34 Why Contextual AI? 17:18 LLM versus SLMs 20:28 Speed over Perfection 22:07 Hallucinations 26:02 Making AI Easy to Consume 28:50 Defining an Agent 32:53 Reaching Contextual AI 33:14 The Contrarian View 34:37 The Risks of AI 36:53 For FunLinkedIn: linkedin.com/in/douwekiela Webs

Send us Fan MailIn case you missed it.... Ready to reclaim your time and live with intention? In this episode, Katherine Mayne sits down with Jacob Hicks, Coach and Speaker, to explore the intersection of productivity and intentional living. We dive into the tools, habits, and strategies that can help you master time management, optimize your workflow, and unlock your full potential.From the Four Disciplines of Execution to Atomic Habits and the role of AI in coaching, Jacob shares practical, real-world insights you can put into action today. Whether you’re a leader, entrepreneur, or simply looking to get more out of your day, this conversation will give you the frameworks and mindset shifts you need.

Send us Fan MailMost people building with AI are working from the same playbook. Dr. Sean Falconer isn't.As AI Entrepreneur in Residence at Confluent, Sean sits at the intersection of real-time data streaming and production AI — where the decisions get hard and the stakes are real. In this episode, he and Al get into what it actually looks like to run multiple LLMs simultaneously, what happened when Sean tested autonomous agents in real-world conditions, and why some of the loudest claims in AI deserve a second look.Sean also pulls back the curtain on Confluent's technology, explains why he chose the company, and shares his framework for thinking about where AI is actually headed — not where the headlines say it is.If you want a grounded, experienced perspective on building at the edge of AI innovation — from someone who is doing it — this one is worth a replay.Timestamps04:38  Meet Sean Falconer11:11  Lifelong Learning12:31  AI Entrepreneur in Residence16:28  Multiple LLMs in Action21:07  The Tech

Send us Fan MailYour Brain Generates Data. Are You Using It? Your brain is producing data every second. The question is whether anyone is actually reading it — and what happens when AI starts to.In this episode, Al sits down with Dr. Nicholas Dogris and Dr. Tiff Thompson, the founders behind the NeuroField ecosystem — a triad of companies applying advanced neuroscience data to brain health, diagnosis, and treatment. Together, they've built tools and methodologies that are changing how clinicians understand and measure what's actually happening inside the brain.The conversation covers how data is reshaping diagnostic accuracy, what AI is making possible in neurotherapy, and why defining a 'healthy brain' is more complex — and more important — than most people realize. Dr. Dogris and Dr. Thompson also walk through Independent Component Analysis and how the NeuroField approach brings together technology, clinical practice, and education under one roof.If you've ever wondered what's

Send us Fan MailThe database has always needed a human hand — someone to tune it, protect it, and keep it running. But what if AI could do most of that work autonomously? And if it can, what does that mean for the people who've built careers doing exactly that?In this episode, Al sits down with Satya Krishnaswamy, Director at IBM, to explore IBM's Db2 Genius Hub — a bold step toward autonomous database management powered by AI agents. Satya breaks down what it actually means for a database to run itself, how IBM is thinking about the levels of AI autonomy, and where the human still needs to stay in the loop.They get into the real questions: How many AI agents does it take to manage a modern database? When should you let the system decide — and when should you keep your hand on the wheel? And what happens to the DBA role as automation handles more of the heavy lifting?If you work in data, lead a data team, or just want to understand where enterprise database technology is actually headed — this one i

Send us Fan MailRaffi Khatchadourian, Account Technical Leader at IBM, shares his expertise - from AI deployments to infrastructure and more. Raffi dives into the latest trends and insights in the field of artificial intelligence and data science. Tune in for practical advice and real-world examples from a leading expert in the industry.01:37 Meet Raffi05:43 Success AI Deployments13:08 Replayability22:22 AI, A Services PoV25:52 Small Models vs Large Models29:04 Infrastructure's Impact on AI32:37 Mac Minis34:43 Guardrails36:58 Rapid Fire QuestionsLinkedIn: linkedin.com/in/raffi-khatchadourianWebsite: https://www.ibm.com/think/artificial-intelligenceWant to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailFrom Sovereign AI to Social Impact: The Big Shifts You Need to Watch with IBM VP and CTO of IBM Canada, Manav GuptaManav Gupta, Vice President & CTO at IBM Canada, returns to the podcast to unpack the fast-changing landscape of artificial intelligence. From keeping a technical edge to navigating the rise of sovereign AI, Manav shares insights on how emerging trends are shaping both industry and society.Timestamps 01:25 – Manav Gupta is back! 02:39 – Maintaining your technical edge 04:38 – Ship AI 05:58 – The state of AI 19:37 – Reason for concern? 30:35 – Does the U.S. lead the race? 41:30 – LLMs or SLMs? 44:22 – Sovereign AI 46:05 – The social impactPrevious episode: How to Choose, Use, and Trust AI Models with Manav GuptaConnect with Manav on LinkedIn: linkedin.com/in/mgupta76#SovereignAI #AISocialImpact #AITrends #FutureOfAI #EthicalAI #AIPodcast #TechPodcast #SpotifyPodcast #ApplePodcasts #TechLeaders.Want to be featured as a guest on Making Data Simple?  Reach out to us at almartintal

Send us Fan MailThe rapidly evolving world of Artificial General Intelligence (AGI) with Manav Gupta, VP & CTO of IBM Canada!  We’re tackling the big questions – is an ‘AGI clock’ ticking? – alongside critical discussions on risk, regulation, and the future of work.  Manav and I pull no punches as we explore the surprising realities of AI’s development and its potential impact on our lives.01:55 The ShipAI Podcast 04:42 AI Battlegrounds07:02 AGI Defined10:52 The 10-min Problem22:43 No Guardrails?!24:16 Risk & Regulation28:11 Something Positive36:36 What Companies Will Last?38:38 Three Possible Human Futures41:20 Advice to Children LinkedIn: linkedin.com/in/mgupta76Website: ShipAI PodcastWant to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it s

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Send us Fan MailEver wonder how your bank transaction really gets processed without a hitch? Barry Baker, Chief Operating Officer of IBM Infrastructure, oversees the world’s most critical systems – including the iconic IBM Z. Barry has spent over 25 years building mission critical technology. We’ll dive into everything from mainframe modernization and AI acceleration to the future of cloud and enterprise-grade solutions!01:35 Meet Barry Baker03:42 Biggest Infrastructure Challenge04:59 True Mainframe Modernization14:03 Never Let a Good Crisis Go to Waste18:33 The Move to Cloud22:43 AI in Infra25:40 IBM Spire28:05 Successful AI Clients33:53 Experimenting on the Mainframe36:45 Rapid Fire Questions39:06 Production-grade AILinkedIn: linkedin.com/in/barrymbakerWebsite: https://www.ibm.com/solutions/it-infrastructureWant to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Tec

Send us Fan MailWhat separates the leaders who scale from the ones who stall? According to Dave Martin — CEO, tech entrepreneur, investor, and coach to elite executives worldwide — it's not IQ, it's not hustle, and it's definitely not the framework on your whiteboard.It's how they think.In this episode, Al sits down with Dave to unpack Mega Thinking — his simple, powerful process for making better leadership decisions under pressure. Dave has coached CEOs from Silicon Valley to boardrooms worldwide, and the patterns he's identified in top performers are both counterintuitive and immediately actionable.If you lead a team, run a company, or are building toward either — this one is worth your full attention.⏱️ Episode Breakdown02:38 – Meet Dave Martin: From tech entrepreneur to investor coach—Dave's leadership journey05:27 – Silicon Valley Secrets: What makes this innovation hub tick?08:17 – The Inception of Mega Thinking: Where breakthrough leadership strategies begin10:57 – Startu

Send us Fan MailLast week we brought back Part 1 of our Ruchir Puri masterclass. This is the episode that completes it.If Part 1 was about how AI works — agentic loops, inference scaling, the death of prompt engineering — Part 2 is about where AI is going. Ruchir takes on the biggest questions in the industry: Is Jensen Huang right that AGI arrives by 2029? What does IBM's bet on open models actually mean for the enterprise? And what does it take to build AI with not just intelligence, but reasoning and judgment?His framework — AGI as IQ + EQ + RQ — is one of the clearest mental models we've heard for cutting through the noise around artificial general intelligence. The RQ, he argues, is the piece nobody's solved yet. And until they do, enterprise AI has to be built differently.This one stands alone if you're new. But if you just heard Part 1, this is the natural next step.Key moments:00:12 — Ruchir's take on Jensen Huang's 2029 AGI prediction04:15 — Why IBM is betting on open mo

Send us Fan MailToday we're joined by Kareem Yusuf, SVP at IBM, where he leads Ecosystem and Strategic Partnerships. His career journey spans IoT, sustainability, and product growth — and it's more diverse than you might expect. In this episode, we dig into the critical thinking behind building successful partnerships, navigating complex tech ecosystems, and what it really takes to prioritize when everything feels urgent.00:00 Introduction01:15 Meet Kareem Yusuf03:44 Best Job Ever08:03 Career Path13:31 The Ecosystem18:20 The Partner "X" Factor21:05 Prioritization23:18 The Ecosystem Dilemma26:17 IBM Differentiation30:13 Modernizing the Mainframe34:50 Exciting Products37:18 Prioritization Revisited38:46 Leadership39:23 Lightning RoundLinkedin: https://www.linkedin.com/in/kareemyusufWebsite: https://www.ibm.com/partnerplusWant to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is

Send us Fan MailPart2: Craig McLuckie, Founder and CEO of Stacklok and inventor ofKubernetes, discusses his latest venture: Stacklok, an Enterprise MCPPlatform that makes developers and AI agents more productive.00:12 The 2-min Stacklok Pitch01:47 An Enterprise-grade MCP Platform06:28 The Case for Smaller Models07:09 Are Clients Ready?11:36 The Winners and Losers14:20 Stacklok's Major Competitor17:48 Craig's Objectives18:56 Open-source and the Red Hat Machine22:22 The Father of Kubernetes24:22 AI Ethics26:10 For FunLinkedIn: https://www.linkedin.com/in/craigmcluckie/Website: http://stacklok.comWant to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailCraig McLuckie is the Founder and CEO of Stacklok and one of the original inventors of Kubernetes — the open-source container orchestration system that became the backbone of modern cloud infrastructure. After leading Kubernetes into the CNCF and navigating VMware's pivot under Broadcom, Craig made a sharp turn and founded Stacklok: an Enterprise MCP Platform designed to make developers and AI agents dramatically more productive in secure, enterprise environments.In this episode, Craig and Al Martin explore what it means to build again after building something that changed the industry — and what the next wave of enterprise AI infrastructure actually requires.In this episode:01:14 Meet Craig McLuckie — background, Kubernetes origins10:08 Tanzu and Broadcom — what that chapter looked like from the inside11:28 Stacklok and the Big Pivot — why MCP, why now19:57 I Don't Know! — a rare founder moment of intellectual honesty21:32 Success is a Poor Teacher — what winning can hide from you23