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Making Data Simple

IBM Big Data & Analytics Hub

Hosted by Al Martin, WW VP of Technical Sales at IBM, Making Data Simple cuts through the hype to reveal how data and AI reshape the modern enterprise.

Thought leaders, researchers, and innovators share firsthand lessons on leading teams, scaling analytics, and driving real-world impact—delivered in Al’s signature straightforward, witty style.

Tune in to Making Data Simple today. From data and AI breakthroughs to leadership hacks, top experts drop actionable gems that help businesses thrive in a data-driven world. #MakingDataSimple #AI #Leadership

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Wednesday · 45 min
AGI in Six Months? Here's How That Prediction Aged — with Phillip Swan, Chief Product & GTM Officer, The AI Solution Group {replay}
Send us Fan Mail Phillip 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 Summary LinkedIn: 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 almartintalksdata@gmail.com 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.
August 19 · 51 min
Big Episode: IBM's AI Operating Model, Death by Powerpoint, and Behavioral Economics
Send us Fan Mail This 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 Fire LinkedIn https://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 almartintalksdata@gmail.com 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.
August 12 · 39 min
In case you missed it.... Live Data, Smarter AI with Snow Leopard founder Deepti Srivastava {Replay}
Send us Fan Mail What 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 almartintalksdata@gmail.com 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.
August 5 · 43 min
Where's the Smart Money Going in AI? Rob May, Co-Founder & CEO of NeuroMetric AI, on Inference, ROI, and the Bets That Matter
Send us Fan Mail Rob 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 May 04:22 The Investing in AI Newsletter 06:50 Starting Neurometric 11:39 Inferencing Defined 16:12 Future Investing in AI 20:24 Model Thinking w/ Guidance 23:40 Neurometric, a Token Engineering Platform 29:07 Data Center Investments 30:42 Real AI ROI 33:48 Where is the Smart Money Going? 35:37 What AI Leaders Must Get Right 39:09 Stock Picks 40:32 Rapid Fire Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
July 29 · 46 min
⚡In case you missed it....Surviving the AI Data Flood — Ajay Kulkarni, CEO of TigerData, on Time-Series, IoT, and What's Next
Send us Fan Mail This 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 Books LinkedIn: https://www.linkedin.com/in/ajaykulkarni/ Website: https://tigerdata.com Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
July 22 · 47 min
When AI Stops Waiting for Instructions — Matt Glickman, Co-Founder and CEO of Genesis Computing, on Autonomous Agents
Send us Fan Mail We 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 Questions LinkedIn: https://www.linkedin.com/in/matthewglickman Website: https://genesiscomputing.com Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
July 15 · 45 min
Dave Trier, CEO of ModelOp, explores the rapidly evolving world of AI in navigating safely deploying AI and navigating critical governance challenges
Send us Fan Mail Making Data Simple sits down with Dave Trieer, CEO of ModelOp, to explore the rapidly evolving world of AI – particularly what happens when it starts acting autonomously. From safely deploying AI in regulated industries to navigating critical governance challenges, Dave offers invaluable insights on this transformative technology. 01:22 Meet Dave Trier 04:22 The Terminator is Coming 10:33 The Definition of Autonomous 12:15 Pushing AI into Production 17:33 AI Misconceptions 21:12 Use Case Qualification 22:53 ModelOp Value Prop 29:59 The "One Thing" with AI Governance 33:13 AI Regulation 36:47 Predicting AI 39:45 Lightening Round LinkedIn: linkedin.com/in/davidetrier Website: https://www.modelop.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
July 8 · 46 min
In case you missed it...The Invisible Engineering That Keeps Mission-Critical Hardware From Failing — with Todd VanGilder & Ryan Smith, Genuen
Send us Fan Mail In 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 Leaders 08:33 Boeing 09:21 Genuen 15:11 2-min Pitch 16:11 Client Profile 18:25 Use Cases 23:00 Replica 33:10 Reflective Memory Secret Sauce 37:16 Monetizing Replica 40:06 Coolest Use Case 41:42 True but No One Agrees Linkedin: 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 almartintalksdata@gmail.com 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.
July 1 · 37 min
Is RAG Dead? The Pioneer Who Invented AI's Memory Layer Answers — with Douwe Kiela, Co-Founder, Contextual AI {ICYMI}
Send us Fan Mail In 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 Fun LinkedIn: linkedin.com/in/douwekiela Website: contextual.ai Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
June 24 · 33 min
In case you missed it! Stop, Start, Succeed: Jacob Hicks on Time Management & Coaching with Guest Host Katherine Mayne
Send us Fan Mail In 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 Timestamps 01:34 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 Hicks LinkedIn: Jacob Hicks Website: jacobhickscoach.com Podcast: Purpose Driven Progress Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
June 17 · 45 min
In case you missed it.... The Contrarian AI Takes Most People Won't Say Out Loud — with Dr. Sean Falconer, AI Entrepreneur in Residence, Confluent
Send us Fan Mail Most 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. Timestamps 04:38 Meet Sean Falconer 11:11 Lifelong Learning 12:31 AI Entrepreneur in Residence 16:28 Multiple LLMs in Action 21:07 The Tech Behind Confluent 25:51 Why Sean Chose Confluent 28:40 Invest or Short? 36:58 Testing Agents IRL 40:51 The Contrarian AI Take 42:27 Looking Ahead: The Future of AI Guest Links LinkedIn: 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 almartintalksdata@gmail.com 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.
June 10 · 43 min
What If the Data Inside Your Head Could Diagnose What Doctors Miss? — with Dr. Nicholas Dogris, Founder, NeuroField & Dr. Tiff Thompson, PhD, NeuroField Neurotherapy
Send us Fan Mail Your 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. Timestamps 01:55 Meet Dr. Tiff Thompson 04:04 Meet Dr. Nicholas Dogris 11:38 Why Neuroscience? 19:26 The Spectrum of Topics 21:24 A Triad of Companies 22:13 The Data Doesn't Lie 30:28 Diagnosis Accuracy 33:01 AI in Neurotherapy 36:28 Independent Component Analysis 38:43 Defining a Healthy Brain 40:27 Finding Tiff and Nicholas 40:59 Brain Answers, Rapid Fire Guest & Resource Links Dr. Nicholas Dogris — LinkedIn: linkedin.com/in/nicholas-dogris-ph-d-a4787113 Dr. Tiff Thompson — LinkedIn: linkedin.com/in/tiff-thompson-phd-2ab1525 NeuroField: 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 almartintalksdata@gmail.com 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.
June 3 · 42 min
What Happens to the DBA when AI Agents take over? A conversation with Satya Krishnaswamy, Director, IBM Db2 Genius Hub
Send us Fan Mail The 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. Timestamps 02:14 Introducing Satya 05:23 Db2 Genius Hub 06:47 The State of the DB Industry 07:34 The Fate of DBAs 10:24 15 Agents 12:47 AI DB Autonomy Levels 15:52 When Should DBs be Autonomous 23:42 Taking Advantage of Db2 AI 27:32 Human in the Loop, or Not 36:32 Db2 Advancements in Summary 38:19 The Client Challenge 41:04 For Fun Guest Links LinkedIn: linkedin.com/in/satya-krishnaswamy-b412265b Product: https://www.ibm.com/products/db2-genius-hub Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
May 27 · 42 min
AI Deployments: A Practical Guide
Send us Fan Mail Raffi 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 Raffi 05:43 Success AI Deployments 13:08 Replayability 22:22 AI, A Services PoV 25:52 Small Models vs Large Models 29:04 Infrastructure's Impact on AI 32:37 Mac Minis 34:43 Guardrails 36:58 Rapid Fire Questions LinkedIn: linkedin.com/in/raffi-khatchadourian Website: https://www.ibm.com/think/artificial-intelligence Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
S10 · E21
May 20 · 49 min
{In Case You Missed It} From Sovereign AI to Social Impact: The Big Shifts You Need to Watch with IBM VP and CTO of IBM Canada, Manav Gupta
Send us Fan Mail From Sovereign AI to Social Impact: The Big Shifts You Need to Watch with IBM VP and CTO of IBM Canada, Manav Gupta Manav 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 impact Previous episode: How to Choose, Use, and Trust AI Models with Manav Gupta Connect 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 almartintalksdata@gmail.com 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 almartintalksdata@gmail.com 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.
May 13 · 43 min
The Rapidly Evolving World of Artificial General Intelligence (AGI)
Send us Fan Mail The 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 Battlegrounds 07:02 AGI Defined 10:52 The 10-min Problem 22:43 No Guardrails?! 24:16 Risk & Regulation 28:11 Something Positive 36:36 What Companies Will Last? 38:38 Three Possible Human Futures 41:20 Advice to Children LinkedIn: linkedin.com/in/mgupta76 Website: ShipAI Podcast Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
May 6 · 45 min
In case you missed it: David Hirschfeld; CEO of Tekyz. What it takes to make a startup successful - is it the founder or the technology?
Send us Fan Mail In 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 Hirschfeld 05:55 – THE Reason Startups Fail 08:50 – Lifetime Value 11:33 – The Value of Validation 14:48 – What Do the VCs Say? 16:20 – Startup Success Rate 17:10 – Tekyz 23:01 – Product Market Fit 29:18 – Startup Ideation 31:37 – Unicorns 38:12 – Unexpected Truths 42:45 – Founder or Technology? 🔗 Connect with David: LinkedIn: https://www.linkedin.com/in/davidhirschfeld Website: https://tekyz.com #MakingDataSimple #StartupAdvice #ProductMarketFit #TechLeadership #VCInsights #FoundersJourney #Entrepreneurship #DataDrivenDecisions #StartupFailure #Innovation #ClientCentric #Podcast Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
April 29 · 43 min
Chief Operating Officer of IBM Infrastructure, Barry Baker, oversees the world’s most critical systems – including the iconic IBM Z.
Send us Fan Mail Ever 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 Baker 03:42 Biggest Infrastructure Challenge 04:59 True Mainframe Modernization 14:03 Never Let a Good Crisis Go to Waste 18:33 The Move to Cloud 22:43 AI in Infra 25:40 IBM Spire 28:05 Successful AI Clients 33:53 Experimenting on the Mainframe 36:45 Rapid Fire Questions 39:06 Production-grade AI LinkedIn: linkedin.com/in/barrymbaker Website: https://www.ibm.com/solutions/it-infrastructure Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
S10 · E17
April 22 · 40 min
In case you missed it — The Way Elite CEOs Actually Think: Dave Martin on Mega Thinking, High-Stakes Decisions & What's Holding You Back
Send us Fan Mail What 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 Breakdown 02:38 – Meet Dave Martin: From tech entrepreneur to investor coach—Dave's leadership journey 05:27 – Silicon Valley Secrets: What makes this innovation hub tick? 08:17 – The Inception of Mega Thinking: Where breakthrough leadership strategies begin 10:57 – Startups Unfiltered: What it really takes to succeed (and survive) 14:00 – What is Mega Thinking?: The simple yet powerful framework to level up your leadership 21:05 – Mega Thinking in Action: How top performers apply it daily 24:07 – What Holds People Back?: The hidden barriers between you and your next big idea 27:26 – Mega Thinking Summary: Your rapid-fire leadership playbook 33:06 – Reminiscing IBM: Timeless leadership lessons from a tech giant 34:28 – The Most Powerful Leaders: How they think differently—and why it works 36:42 – Final Thoughts: Dave's rapid-fire leadership advice you can apply today 38:46 – How to Reach Dave Martin: Continue the conversation and go deeper 🔗 Connect with Dave: LinkedIn | 🌐 megathinkingbook.com Making Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
S10 · E12
April 15 · 27 min
Still Essential: Ruchir Puri on AGI, Jensen Huang's Bold Prediction, and Why Reasoning Is the Missing Piece {Replay}
Send us Fan Mail Last 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 prediction 04:15 — Why IBM is betting on open models and what that means for enterprise AI 07:21 — Why IBM Granite? The case for purpose-built models 09:58 — Model indemnification: how IBM handles legal risk and LLM accountability 11:32 — What actually gets in the way of successful AI deployment 15:35 — The AI chipset race: GPUs, custom silicon, and what's next in compute 18:37 — AGI = IQ + EQ + RQ: the framework demystified 24:15 — What AI can learn from the human brain's 20-watt efficiency Making Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM. Ruchir's Linkedin Al's LinkedIn Explore IBM's Watsonx Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.

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