Welcome to another episode of Data Driven, where we dive deep into how data and AI are shaping—sometimes shaking—the modern world. In this episode, hosts Frank La Vigne, Andy Leonard, and Carmen Li sit down with Carmen Lee, the trailblazing CEO of Silicon Data and a former Bloomberg data aficionado.

Carmen’s on a mission to bring clarity to the wild west of GPU compute markets, and she shares with us how she’s turning raw compute into a true tradable commodity—think futures markets for GPUs, the “Bloomberg terminal” for AI infrastructure, and perhaps even a Carfax for your next used GPU cluster.

Together, they explore everything from why AI startups struggle with fluctuating margins, to the crucial role TSMC plays in the world economy, all the way to the data transparency that might be the missing piece in AI’s explosive growth. Whether you’re curious about benchmarking GPUs, tokenomics, managing infrastructure costs, or just want a glimpse into the future of data markets, this one’s for you.

Stay tuned for a fascinating conversation on normalizing chaos, hedging tech costs, geeking out over hardware, and even a few laughs about used GPU “car lots” in Virginia. Let’s get data driven!

• Silicon Data -https://www.silicondata.com/
• Dancing with Qubits -https://amzn.to/4mIOG8U
• The Nvidia Way -https://amzn.to/3VH9aUv

00:00 "AI Commodities and GPU Markets"

06:56 Ecosystem Transparency Benefits All

10:55 AI SaaS Cost Optimization Challenges

13:41 Token Economics in Cloud AI

15:27 Optimizing GPU and Token Commitment

18:41 Token-Based Product Innovation

25:00 "Verifying UIDs and Connectivity"

28:43 Measuring GPU Performance

30:41 Supply Chain Impact on GPU Industry

35:43 "TNC's Unchallenged Leadership in Supply Chain"

36:31 Silicon Ecosystem Collaboration

39:38 Nvidia's Strategic TSMC Capacity Purchase

42:51 Bloomberg's Media and Finance Expansion

46:53 "Quantum Reading Challenges"

50:13 "Data Driven Podcast Wrap-Up"

In this episode, we're joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really need humanoid robots to achieve superintelligence, or if a convincingly detailed simulation (think Grand Theft Auto, but for AI) might get us there first.

Christopher takes us on a whirlwind tour of Google DeepMind’s pioneering alpha projects, the latest buzz around simulating experiences for AI, and the metaphysical rabbit hole of iRobot and simulation theory. We dive into why the next big advancement in AI might not come from making models bigger, but from making them better at simulating the world around them. Along the way, we tackle timely topics in AI governance, security, and the ethics of continuous learning, with plenty of detours through pop culture, finance, and grassroots tech conferences.

If you’re curious about where the bleeding edge of AI meets science fiction, and how simulation could redefine the race for superintelligence, this episode is for you. Buckle up—because reality might just be the next thing AI learns to hack.

00:00 Upcoming European and US Conferences

05:38 AI Optimization Plateau

08:43 Simulation's Role in Spatial Awareness

10:00 Evolutionary Efficiency of Human Brains

16:30 "Robotics Laws and Contradictions"

17:32 AI, Paperclips, and Robot Ethics

22:18 Troubleshooting Insight Experience

25:16 Challenges in Training Deep Learning Models

27:15 Challenges in Continuous Model Training

32:04 AI Gateway for Specialized Requests

36:54 Open Source and Rapid Innovation

38:10 Industry-Specific AI Breakthroughs

43:28 Misrepresented R&D Success Rates

44:51 POC Challenges: Meaningful Versus Superficial

47:59 "Crypto's Bumpy Crash"

52:59 AI: Beyond Models to Simulation

Welcome to another episode of Data Driven! Today, hosts Frank La Vigne and Andy Leonard, are joined by Dr. Ido Zamberg—a rare breed who’s equally comfortable rebooting servers and saving lives.

Dr. Zamberg is a physician, software engineer, chief medical officer at C8 Health, and a true innovator at the intersection of medicine and technology. In this episode, we dive into his unique journey from startups and coding to the operating room, exploring how his hands-on technical expertise is helping frontline clinicians access real-time, AI-powered decision support.

Expect fascinating insights into the evolution of healthcare technology, the challenges (and rewards) of bridging vastly different worlds, and why seamless access to best practices at the point of care can be truly lifesaving. Dr. Zamberg shares anecdotes from his career, reflects on the importance of context-driven solutions, and offers a behind-the-scenes look at making clinical workflows smarter, faster, and safer with modern AI. So if you’re curious about how SQL queries meet scalpel skills, this is an episode you won’t want to miss!

00:00 From Software Engineer to Physician-Entrepreneur

06:04 "From Tech to Medicine: A Journey"

07:43 Tech-Medicine Integration Challenges

12:55 Diverse Medical Experience Overview

14:49 "Healthcare Solutions Over Tech Focus"

18:41 Hospital Best Practices Standardization

20:46 Streamlined Clinician Information Platform

23:59 Solving Healthcare Inefficiencies

29:22 Understanding the Challenges of Tough Jobs

30:11 Practice Grace Over Wealth

33:59 Healthcare Platform for Providers

39:11 Generative AI in Clinical Queries

42:16 Value of Expertise in Problem-Solving

43:48 Praising Expert in AI Medicine

47:50 AI Revolutionizing Healthcare Information

51:27 Data, Coffee, and Code Insights