Ibm Analytics Insights Podcasts

Send us Fan MailUnlock your full potential with Kate Mayne, Executive Coach and data expert! In this episode, Kate dives into the surprising ways our behaviors impact our data, offering actionable strategies for clarity and growth – insights you can put into practice today. Learn how to leverage your data for authentic leadership and strategic decision-making – explore more at www.experttoexec.com.00:57 Meet Kate Mayne01:55 Why and Exec Coach?05:17 Why Pay for a Coach?09:10 Certifications12:10 Natural & Adaptive Behaviors14:47 Top Coaching Tricks32:18 Compromising Who You Are35:24 Coaching Tricks41:57 Recommended Books https://experttoexec.com/reading-list 42:12 AI in CoachingLinkedIn: https://www.linkedin.com/in/katherinemayne/Website: www.experttoexec.comBook report: 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 t

Send us Fan MailDive into the powerful world of mainframes! Chief Product Officer of IBM Z and LinuxONE, Tina Tarquinio, reveals the truth behind those eight nines of uptime and explores how mainframes are evolving with AI, hybrid cloud, and future-proofing strategies for mission-critical business decisions. Discover the cutting-edge innovations transforming enterprise computing—from on-chip AIU and Spyre AI accelerators enabling real-time inferencing at transaction speed, to how LinuxONE is redefining hybrid cloud architecture.  Tina discusses DevOps integration, AI-powered code assistants revolutionizing mainframe development, compelling AI use cases, and shares her bold predictions for the mainframe’s next 100 years.  Plus, career advice from a tech leader and what she does for fun!00:46 Tina Tarquinio03:18 The Most Mainframe Surprise09:12 What IS the Mainframe Really?  8 Nines!14:40 On Chip AIU, Spyre Inferencing18:11 Mainframes with Hybrid Cloud19:11 The Linux One Pitch19:59 Exciting Mainframe Innovation

Send us Fan MailWant to cut through the noise and understand *real* consumerbehavior? Lev Mazin, CEO of aytm—Ask Your Target Market—is hereto challenge the hype around AI and big data. Lev’s spent over adecade connecting with 100 million consumers, revealing whyhuman insight is more valuable than ever in a world racing towardssynthetic data.01:10 Lev Mazin04:55 AYTM06:52 AYTM's Differentiator09:06 Consumer Insights Automation12:28 Why Do Surveys Still Exist17:50 Panels of 100M Clients19:17 Data Quality, an Existential Crisis24:41 Synthetic Data27:11 Extracting Noise from Data29:45 Big Data to Human Insights30:58 Do ISO Certification Matter?37:03 Irrational Behavior41:20 Rapid FireLinkedIn: linkedin.com/in/levmazinWebsite: https://aytm.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

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 – Organizatio

Send us Fan MailWe dive into the surprising wisdom of retail with Ron Johnson — creator of the original Apple Store, founder of Enjoy Technology, and author of Shop Different. Johnson challenges conventional thinking about the future of physical spaces, arguing that the human element — and the power of design — will always be crucial. AND, "The most important person is in front of you," a life lesson.02:31 Ron Johnson! 05:42 The Apple Store 08:39 MSFT vs Apple 10:39 The Design 14:37 The Restart 20:15 Kindness 24:18 The Genius Bar 27:37 What If? 31:36 Why a Physical Store? 35:17 Client Service 38:50 JCPenney Coupons 41:32 Retail in the Future 43:40 Shop DifferentLinkedIn: https://www.linkedin.com/in/shopdifferent Website: https://ronjohnsonshopsdifferent.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 trendin

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

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

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