Making Data Simple

The Man Who Built Kubernetes Is Betting Everything on This New Idea: Craig McLuckie Founder and CEO of Stacklok

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 you23:36 The Future Developer — how AI changes what developers do26:38 Hiring Developers — what Craig looks for nowConnect with Craig: LinkedIn: 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 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. 

Still Essential: Ruchir Puri, IBM Chief Scientist, on the Death of Prompt Engineering and the Rise of Agentic AI {Replay}

Send a textFirst Aired Apr 23, 2025If you've been following the AI space lately, this episode hits differently the second time around.When Al sat down with Ruchir Puri — Chief Scientist of IBM Research, IBM Fellow, and the architect behind Watson and watsonx — the conversation covered ground that's only gotten more relevant since: the death of prompt engineering, the rise of agentic AI, and why 2025 was always going to be the year agents broke through in the enterprise.Ruchir doesn't deal in hype. He deals in systems — real ones, running at scale, in industries where a hallucinated number has consequences. In this masterclass, he walks through inference scaling, memory in AI systems, and what it actually means to build AI that's useful rather than just impressive.If you're new to the show, this is the episode to start with. If you've heard it before — trust us, it lands differently now.Key moments:12:21 — Why prompt engineering is already fading (and what replaces it)13:39 — Inference scaling: the frontier that's not about training anymore16:26 — Why AI systems that "forget" are failing us17:56 — The full agentic loop: Think, Plan, Act, Execute, Observe, Reflect23:45 — Why enterprise AI agents are no longer a future stateMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant 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. 

The Data You Never Collected: Adam Kamor Co-Founder & Head of Engineering, Tonic.ai, on Synthetic Data's AI Revolution

Send a textMaking Data Simple dives into the exciting world of synthetic data with Adam Kamor, Co-Founder & Head of Engineering at Tonic.ai — a company building a synthetic data platform to power AI and software development. Adam unpacks how synthetic data is revolutionizing the way we build smarter, safer AI systems.01:31 Meet Adam Kamor 08:43 The Road to Software Engineering 11:10 Defining Synthetic Data 13:46 The Need for Synthetic Data 15:17 Synthetic Data with AI 17:59 Tonic.ai 18:57 Pros & Cons of Synthetic Data 25:40 Tonic.ai's Differentiation 27:58 The Tech 30:16 Biggest Competitor 32:34 The Use Case 33:37 Where Synthetic Data Fails 37:59 For FunLinkedIn: https://www.linkedin.com/in/adamkamor Website: https://www.tonic.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.

From Two Phones to Crystal Balls — A CISO's Unfiltered Take on AI and Security with Josh Scott, CISO and VP of Security at Hydrolix

Send a textMaking Data Simple dives into the world of data security with Josh Scott, CISO and VP of Security at Hydrolix — a real-time data platform built for massive scale. Josh unpacks critical challenges like AI adoption, cybersecurity priorities, and how organizations can harness data to stay ahead, all while keeping performance high and costs down.01:02 Investing 04:25 Meet Josh Scott 10:54 Adopting AI Safely 14:42 What IS a CISO? 17:14 What Keeps a CISO Up at Night? 19:11 Using AI for Security 20:47 Two Phones? 21:36 Password Sharing 23:03 CISO Prioritization 27:39 Signal From Noise 29:29 Leadership Style 32:27 The Crystal BallLinkedIn: https://www.linkedin.com/in/joshuascott/ Website: https://www.hydrolix.io/#MakingDataSimple #DataSecurity #Cybersecurity #CISO #AIAdoption #AIAndSecurity #Hydrolix #RealTimeData #DataPlatform #InfoSec #CyberLeadership #TechPodcast #Leadership #BigData #AI #DataPrivacy #CloudSecurity #SignalVsNoiseWant 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.

The Hidden Laws Behind Every Decision You Make — with Princeton's Tom Griffiths and his new book, The Laws of Thought

Send a textTom Griffiths, Henry R. Luce Professor at Princeton University, joins the show to explore the surprising science behind how we actually think. His new book, The Laws of Thought, bridges computational cognitive science and AI—challenging assumptions about decision-making, neural networks, and the path to artificial general intelligence.Show NotesTimestamps 01:21 – Meet Tom Griffiths 05:27 – Tom's Book 06:58 – A Neural Network 09:55 – AGI? 19:10 – Writing the Book 20:45 – The Laws of Thought 27:24 – The Neural Network Surprise 31:33 – Learning from Experts 35:19 – Decision Making vs. Probability 42:36 – Government AI ConsiderationsLinks LinkedIn: linkedin.com/in/tom-griffiths-7b31a0364 Book: The Laws of Thought – Macmillan#TheLawsOfThought, #CognitiveScience, #ArtificialIntelligence, #AGI, #NeuralNetworks, #DecisionMaking, #Probability, #AIResearch, #Princeton, #TechPodcast, #MakingDataSimple, #AIGovernment, #MachineLearningWant 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.