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Data Driven

Data Driven
Data Driven
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  • The Fast-Moving Train of AI - Sovereignty, Acceleration, & Lessons from History
    On this episode of Data Driven, hosts Frank La Vigne and Leonard celebrate a major milestone: the 30th anniversary of Franksworld.com, one of the OGs of tech blogging that’s survived multiple browser wars, dot-com crashes, and the relentless march of Internet time. Joined by guest Saket Saurabh, they dive into the rapidly evolving landscape of AI, data science, and technology, comparing today’s AI boom to previous tech bubbles and exploring trends in sovereign AI, data sovereignty, and global competition in quantum computing.The conversation takes us from the days of hand-coded HTML uphill in both directions, to modern challenges like scheduling snafus, rapid automation, and the possibilities (and pitfalls) brought on by artificial intelligence. Along the way, Frank and Saket reflect on the cycles of tech innovation, the impact of global politics on data and AI, and what it really means to adopt new technology mindsets.Tune in for a lively ride through tech history, lessons learned, and a discussion on how a scrappy few—and a little help from AI—can rival teams of seventy. If you’re curious about what’s next in AI, data, or you just want a dose of digital nostalgia and practical insight, this episode’s for you.LinksFranksWorld.com -http://www.FranksWorld.comWho Moved My Cheese -https://amzn.to/4oeqGvsImpact Quantum Global Report -https://impactquantum.com/GlobalReport/Impact Quantum Podcast -https://impactquantum.com/AutonomousWarfare.ai -https://autonomouswarfare.ai/Some links may be affiliate links.Time Stamps00:00 Grok 4 Daily Updates05:22 "AI Bubble: Caution and Trends"12:10 "X64 Chips and Tech Rivalry"19:49 "Appreciating Thoughtful Scientific Content"25:34 "History's Arcs and Overcorrections"27:24 "Unique Identity Beyond Models"32:03 "Reexamining Privacy Awareness"41:22 "Geopolitical Prudence and Resources"47:49 "AI, Podcasts, and Off-Roading"50:37 "Talking Recycling Bin Origins"54:37 "AI as a Multilingual Solution"59:49 Reinventing MCP and Context Memory01:05:12 "Artistic Talent Meets Engineering"01:14:08 "Data, AI, and Mastermind Insights"
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  • Compute, Carbon, and Cashflow Silicon Data’s Big Bet on GPU Markets
    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!LinksSilicon Data -https://www.silicondata.com/Dancing with Qubits -https://amzn.to/4mIOG8UThe Nvidia Way -https://amzn.to/3VH9aUvTime Stamps00:00 "AI Commodities and GPU Markets"06:56 Ecosystem Transparency Benefits All10:55 AI SaaS Cost Optimization Challenges13:41 Token Economics in Cloud AI15:27 Optimizing GPU and Token Commitment18:41 Token-Based Product Innovation25:00 "Verifying UIDs and Connectivity"28:43 Measuring GPU Performance30:41 Supply Chain Impact on GPU Industry35:43 "TNC's Unchallenged Leadership in Supply Chain"36:31 Silicon Ecosystem Collaboration39:38 Nvidia's Strategic TSMC Capacity Purchase42:51 Bloomberg's Media and Finance Expansion46:53 "Quantum Reading Challenges"50:13 "Data Driven Podcast Wrap-Up"
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  • Why Simulating Reality Is the Key to Advancing Artificial Intelligence
    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.Time Stamps00:00 Upcoming European and US Conferences05:38 AI Optimization Plateau08:43 Simulation's Role in Spatial Awareness10:00 Evolutionary Efficiency of Human Brains16:30 "Robotics Laws and Contradictions"17:32 AI, Paperclips, and Robot Ethics22:18 Troubleshooting Insight Experience25:16 Challenges in Training Deep Learning Models27:15 Challenges in Continuous Model Training32:04 AI Gateway for Specialized Requests36:54 Open Source and Rapid Innovation38:10 Industry-Specific AI Breakthroughs43:28 Misrepresented R&D Success Rates44:51 POC Challenges: Meaningful Versus Superficial47:59 "Crypto's Bumpy Crash"52:59 AI: Beyond Models to Simulation
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  • Dr Ido Zamberg on The Role of AI in Modern Healthcare Delivery From Databases to Defibrillators
    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!Time Stamps00:00 From Software Engineer to Physician-Entrepreneur06:04 "From Tech to Medicine: A Journey"07:43 Tech-Medicine Integration Challenges12:55 Diverse Medical Experience Overview14:49 "Healthcare Solutions Over Tech Focus"18:41 Hospital Best Practices Standardization20:46 Streamlined Clinician Information Platform23:59 Solving Healthcare Inefficiencies29:22 Understanding the Challenges of Tough Jobs30:11 Practice Grace Over Wealth33:59 Healthcare Platform for Providers39:11 Generative AI in Clinical Queries42:16 Value of Expertise in Problem-Solving43:48 Praising Expert in AI Medicine47:50 AI Revolutionizing Healthcare Information51:27 Data, Coffee, and Code Insights
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  • Thanos Diakakis on Surviving the Software Apocalypse – AI, Agile, and Good Engineering
    On this episode of Data Driven, we venture into the ever-shifting landscape of software engineering, AI-assisted coding, and the sometimes chaotic future of development teams with special guest Thanos Diacakis—no, not the Marvel villain, but a powerhouse in software leadership whose career spans scrappy startups to tech giants like Uber.Hosts Frank La Vigne, Andy Leonard, and resident AI BAILeY welcome Thanos for an insightful, witty, and sometimes philosophical conversation about the promise and perils of AI in software engineering. From the rise (and risks) of “vibe coding” to the changing definition of good engineering, Thanos shares firsthand experiences, pitfalls to avoid, and why solid fundamentals matter now more than ever—even with AI churning out code at lightning speed.We also explore how AI is reshaping workflows for both solo developers and large teams, the difference between local and global efficiency, and how bottlenecks are shifting in this new era. Thanos breaks down his “seven mental models” for effective engineering, demystifies the right way to work with AI tools (instead of letting them run wild), and explains why junior devs still deserve a seat at the table.If you’re curious about the real impact of AI-assisted coding, worried about the next wave of software “apocalypse,” or just eager for practical strategies to keep your teams productive and sane, this episode is packed with the wisdom, humor, and actionable takeaways you’ll want to hear. Buckle up as we dive deep into the code base—this is Data Driven, where the only thing disappearing is inefficiency.LinksCosmic Teacups: https://www.cosmicteacups.com/The Goal 40th Anniversary Edition: https://amzn.to/4lGhZbI (Amazon affilliate link)The Goal Graphic Novel (Yes, really) https://amzn.to/47ohIXx (Amazon affilliate link)Time Stamps00:00 "Exploring AI Coding with Thanos"05:20 Revolutionizing Productivity with Code08:18 Cross-Platform Utility Development12:14 Database Costs Drop, Demand Surges14:43 Unauthorized Copying of Software Manuals17:54 "Chunked Narratives Enhance LLM Performance"19:43 Grox Impressive Despite Incompletion24:40 Reviving a Startup with AI28:53 Bottleneck Identification and Resolution Strategy29:37 Incremental Improvements Drive Success34:40 Agile's Evolution: Remembering Its Roots38:41 Balancing Features and Tech Debt42:50 Software Estimations: A Management Trap45:55 Managing Project Time Expectations47:47 Trust Building Through Incremental Delivery51:23 Language Models: Human Cognition Parallel?56:04 "Exploring Intelligence: Brains vs. AI"58:06 "Data Driven Episode Conclusion"
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Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday. The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand. In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.
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