Making Data Simple

Send us a textUnpack a groundbreaking application of IBM’s AI technology designed to revolutionize training and learning. This episode delves into how IBM’s AI-powered partner – built around IBM training – can sharpen technical knowledge, boost confidence, and help teams master every interaction, from pipeline development to closing critical deals.02:12 Meet Paul Zikopoulos, Matt Bateson, and Kyle Sava09:17 Best Methods to Learn 17:57 AI and Training 23:05 The Learning Punch Up! 25:42 IBM Clarity, Now watsonx Workshop! 30:40 The Art of the Possible Use Cases 35:42 Favorite Features 41:32 Architecture 45:55 Cost 46:37 Tips of the WeekLinkedIn:Paul's LinkedIn: https://www.linkedin.com/in/paul-zikopoulos-4323607Al's LinkedIn: https://www.linkedin.com/in/~ksMatt's LinkedIn: https://www.linkedin.com/in/mattbatesonIBM AI Solutions Website: https://www.ibm.com/solutions/artificial-intelligence​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 a textFresh off a high-profile appearance on CNBC’s Worldwide Exchange discussing how AI will move beyond chatbots to autonomous agents that reshape jobs and productivity! Replay this episode where Jure digs into why structured data is still lagging behind the AI revolution and what comes next for predictive AI on relational data.Data’s everywhere, but so often it feels… stuck. Joining us today is Jure Leskovec, Chief Scientist at Kumo and a Stanford Professor who's fundamentally reshaped how we understand networks—from Pinterest's recommendations to tracking the spread of disease. Jure was just on CNBC, and now he’s back on the show to dive even deeper into how structured data is lagging behind the AI revolution. We’ll explore how techniques like Graph Neural Networks are finally unlocking its potential, and how this all plays out in real-world applications.00:57 Meet Jure Leskovec 02:31 Knowing When to Move On 04:01 Academia versus Industry 07:30 Learnings from Pinterest 10:28 The Kumo Pitch 17:57 The Secret Sauce 25:51 Monetization 27:12 Only the Enterprise? 29:49 The Sandbox to Try Before Buy 31:42 The Best Use Cases 35:00 Summarizing 37:38 Predicting AI 40:15 What's True and No One Agrees 41:19 LearningLinkedIn: https://www.linkedin.com/in/leskovec/ Website: https://kumo.ai/CNBC appearance: https://www.youtube.com/watch?v=G98bFN4HE1w 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 a textWhen there’s a need to re-center, stay grounded, and remember that growth is accessible to all of us, this is the episode to revisit. The Mindful Response with Estela Zuheros, Corporate Social Responsibility leader at IBM, explores how social impact, reskilling, and mindfulness come together to create a better, more inclusive world. Come for the global perspective on reskilling, stay for practical reflections on slowing down, being kind to yourself, and avoiding burnout along the way.· 02:06 Meet Estela Zuheros · 05:21 Your personal why? · 07:16 Reskilling · 11:41 The skills problem to solve · 18:44 Measuring success · 20:07 Primary areas of reskilling · 23:02 Program selection criteria · 26:31 The Mindful Response · 37:30 Avoiding burnoutLinkedIn: https://www.linkedin.com/in/estelaquesadazuheros/​ Website: https://estelaquesadazuheros.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 a textAre your teams struggling with disengagement and declining performance? What if the real problem isn’t talent or strategy, but a hidden “buy-in” gap quietly draining energy, innovation, and results? Joining us is Dave Garrison, a seasoned leadership strategist who has seen firsthand how a lack of buy-in fuels these issues – costing businesses billions every year. Dave unpacks the seven critical ingredients for real engagement and shows how to build a truly high-performing organization, starting with simple data and practical, repeatable leadership habits.​01:19 Meet Dave Garrison - Again 02:11 The Buy-in Advantage 04:50 Following Your Passions 05:59 The Pandemic's Impact 07:15 A Buy-in Crisis 09:30 Seven Critical Ingredients for Buy-in 17:45 Three Pillars of High Performing Organizations 21:11 A "Yes" Culture 26:05 Prioritization and Focus 31:15 Recognition and Rewards 34:49 Pushback 39:35 Scaling 41:00 Case Studies44:22 The Collective GeniusLinkedIn: https://www.linkedin.com/in/dave-garrison-growth/​ Website: https://www.buyinbook.com​#makingdatasimplepodcast #Leadership #EmployeeEngagement #BuyInAdvantage #HighPerformance #WorkplaceCulture #PeopleAnalytics #TeamPerformance #BusinessGrowth #DaveGarrisonWant 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 a textOn this replay of Making Data Simple, Manav Gupta, VP and CTO of IBM Canada, jumps straight into the world of large language models and what they really mean for businesses trying to scale AI. From how today’s models are built and tuned, to where the next generation is headed, Manav translates complex AI concepts into practical guidance for leaders, practitioners, and anyone trying to cut through the hype.The discussion spans everything from model architectures and IBM’s Granite family, to how to pick the right model for your use case, balance innovation with governance, and build the skills needed to stay relevant in an AI-first world. If you want a clear, no-nonsense guide to “all things AI models” from someone advising enterprise clients every day, this replay is for you.​02:04 Jumping Right into AI! 02:59 Meet Manav Gupta 08:17 Let's Talk All Things Models 27:20 How to Choose the Right Models 31:48 Where are the Models Going??? 46:01 How to Learn AILinkedIn: https://www.linkedin.com/in/mgupta76/ IBM Granite Models: https://www.ibm.com/graniteWant to be featured as a guest on Making Data Simple? Reach out to [email protected] and share why you should be next.​Hashtags#makingdatasimplepodcast #MakingDataSimple #AI #LargeLanguageModels #AIModels #ArtificialIntelligence #IBMCanada #ManavGupta #AIInnovation #TechLeadership #TechPodcast #IBMGranite #LearnAIRelatedWant 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.