Making Data Simple

Send us Fan MailICYMI — revisiting one of our most useful conversations on what AI actually does to the shape of an organization.How do we make organizations not just run — but run intelligently?Phanish Puranam, the Roland Berger Chaired Professor of Strategy and Organisation Design at INSEAD, joins Al Martin to explore where organizational science meets artificial intelligence. Phanish studies how intelligent algorithms show up inside organizations in three distinct roles — as tools, as teammates, and as templates for organizing itself — and what actually changes when they do.We get into the research, real use cases, the pitfalls most companies walk straight into, and a contrarian argument that generating bad ideas fast may be one of the most underrated engines of innovation.Since this conversation aired, Phanish published re-Humanize: How to Build Human-Centric Organizations in the Age of Algorithms — the natural next step if this episode lands for you.Chapters01:50 – Meet Phanish Puranam03:36 – Organizational Design08:39 – Where is Org Design Today12:41 – A Research Example15:59 – Technologies as Tools & Teammates17:54 – A Real Use Case Example20:30 – The Metaverse, Eliminate Bad Ideas Fast21:28 – Pitfalls23:30 – Use Case Deep Dive30:06 – The Power StructureConnect with Phanish PuranamLinkedIn: linkedin.com/in/phanishpuranamINSEAD Profile: insead.edu/faculty/phanish-puranamBook: re-Humanize: How to Build Human-Centric Organizations in the Age of AlgorithmsWant 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 MailPhillip Swan is a dynamic, forward-thinking leader renowned for turning complex challenges into strategic opportunities. As Chief Product and Go-to-Market (GTM) Officer at The AI Solution Group, Phillip blends customer-centric go-to-market strategies with cutting-edge product development, leadership, and partnerships.01:19 Meet Phillip Swan 03:33 Wind River Systems 07:30 Responsible AI Solutions 08:25 3 Key Areas: Manufacturing, Financial, Pharma 10:22 AI on Quicksand 11:30 AGI in 6 Months. Seriously? 13:08 The Definition of AGI 14:32 A Responsible AI Culture 19:51 Is Regulation the Catalyst? 21:57 AI Change Management 24:24 Phillip and the AI Group 25:33 AI Solution Group 29:16 Achieving Responsible AI 30:36 Clean Data 36:16 What Scares the Responsible AI Guy 39:36 Shadow AI 40:54 A SummaryLinkedIn: https://www.linkedin.com/in/phillip-swan/ Website: https://www.theaisolutiongroup.ai/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 MailThis episode unpacks IBM's ambitious AI Operating Model. We dig into everything from sales training strategies to architecture advantage, drawing on insights gathered through instrumented training programs. 01:44 Meeting The Team 04:17 Architecture Advantage 13:06 Death by PowerPoint 17:08 Behavioral Economics 24:28 Your Biggest Competitor 26:04 Statistics You Should Know 28:28 The AI Operating Model 29:50 Breaking Down the Op Model 35:01 IBM Differentiation 38:20 Sales Training Advice 42:30 Rapid FireLinkedInhttps://www.linkedin.com/in/greg-hintermeister/https://www.linkedin.com/in/dirkderoos/https://www.linkedin.com/in/cwkirby/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 MailWhat if AI could tap into live operational data — without ETL or RAG? In this episode, Deepti Srivastava, founder of Snow Leopard, reveals how her company is transforming enterprise data access with intelligent data retrieval, semantic intelligence, and a governance-first approach. Tune in for a fresh perspective on the future of AI and the startup journey behind it.We explore how companies are revolutionizing their data access and AI strategies. Deepti Srivastava, founder of Snow Leopard, shares her insights on bridging the gap between live operational data and generative AI — and how it’s changing the game for enterprises worldwide.We dive into Snow Leopard’s innovative approach to data retrieval, semantic intelligence, and governance-first architecture.04:54 Meeting Deepti Srivastava 14:06 AI with No ETL, no RAG 17:11 Snow Leopard's Intelligent Data Fetching 19:00 Live Query Challenges 21:01 Snow Leopard's Secret Sauce 22:14 Latency 23:48 Schema Changes 25:02 Use Cases 26:06 Snow Leopard's Roadmap 29:16 Getting Started 33:30 The Startup Journey 34:12 A Woman in Technology 36:03 The Contrarian View🔗 LinkedIn: https://www.linkedin.com/in/thedeepti/🔗 Website:  https://www.snowleopard.ai/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 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://tigerdata.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 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 & fun. 

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 Website: contextual.aiWant 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.... 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.🕒 Episode Timestamps01:34 Meet Jacob Hicks 04:12 Mastering Time Management via WPRI 14:01 Four Disciplines of Execution 15:12 Time Management Misconceptions 21:30 What Stops People from Managing Time 23:32 Tools and Giving AI a Role 26:31 Atomic Habits 28:11 What to Stop 29:36 Coaching and AI 31:05 Jacob's Coaching Business🔗 Connect with Jacob HicksLinkedIn: Jacob HicksWebsite: jacobhickscoach.comPodcast: Purpose Driven ProgressWant 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 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 Behind Confluent25:51  Why Sean Chose Confluent28:40  Invest or Short?36:58  Testing Agents IRL40:51  The Contrarian AI Take42:27  Looking Ahead: The Future of AI Guest LinksLinkedIn: linkedin.com/in/seanf/Substack: softwarehuddle.substack.com/Medium: seanfalconer.medium.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 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 actually happening when brain data gets analyzed — or what the future of neuroscience-driven healthcare looks like — this episode will change the way you think about the most complex data source you own.Timestamps01:55  Meet Dr. Tiff Thompson04:04  Meet Dr. Nicholas Dogris11:38  Why Neuroscience?19:26  The Spectrum of Topics21:24  A Triad of Companies22:13  The Data Doesn't Lie30:28  Diagnosis Accuracy33:01  AI in Neurotherapy36:28  Independent Component Analysis38:43  Defining a Healthy Brain40:27  Finding Tiff and Nicholas40:59  Brain Answers, Rapid Fire Guest & Resource LinksDr. Nicholas Dogris — LinkedIn: linkedin.com/in/nicholas-dogris-ph-d-a4787113Dr. Tiff Thompson — LinkedIn: linkedin.com/in/tiff-thompson-phd-2ab1525NeuroField: https://neurofield.com/NeuroField Neurotherapy: https://www.neurofieldneurotherapy.com/School of Neurotherapy: https://www.schoolofneurotherapy.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 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 is worth your time.Timestamps02:14  Introducing Satya05:23  Db2 Genius Hub06:47  The State of the DB Industry07:34  The Fate of DBAs10:24  15 Agents12:47  AI DB Autonomy Levels15:52  When Should DBs be Autonomous23:42  Taking Advantage of Db2 AI27:32  Human in the Loop, or Not36:32  Db2 Advancements in Summary38:19  The Client Challenge41:04  For Fun Guest LinksLinkedIn: linkedin.com/in/satya-krishnaswamy-b412265bProduct: https://www.ibm.com/products/db2-genius-hubWant 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 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 [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. 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....🎧 Episode Description:This week on Making Data Simple, we welcome David Hirschfeld, Founder and CEO of Tekyz. With a background spanning major tech firms and startup trenches, David brings grounded, data-backed insight into what makes or breaks a startup. From tackling the #1 reason startups fail to exploring the value of validation and the real meaning of product-market fit, this episode is a no-fluff masterclass in entrepreneurial strategy. David’s message is clear: "Don’t focus on your product. Focus on the client’s problem."Whether you're a first-time founder or scaling your next venture, David offers hard-earned truths, including surprising takes on unicorns, VCs, and what really matters more — the founder or the technology?⏱ Time Markers:01:20 – Meet David Hirschfeld05:55 – THE Reason Startups Fail08:50 – Lifetime Value11:33 – The Value of Validation14:48 – What Do the VCs Say?16:20 – Startup Success Rate17:10 – Tekyz23:01 – Product Market Fit29:18 – Startup Ideation31:37 – Unicorns38:12 – Unexpected Truths42:45 – Founder or Technology?🔗 Connect with David:LinkedIn: https://www.linkedin.com/in/davidhirschfeldWebsite: https://tekyz.com #MakingDataSimple #StartupAdvice #ProductMarketFit #TechLeadership #VCInsights #FoundersJourney #Entrepreneurship #DataDrivenDecisions #StartupFailure #Innovation #ClientCentric #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 simple & fun. 

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 Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.