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In this episode of Data Driven, Frank and Andy dive into the future of market intelligence with Dr. Jill Axline, co-founder and CEO of Mavera—a company building synthetic populations that simulate real human behaviour, cognition, and emotion. Forget Personas. We're talking real-time, AI-driven behavioural modeling that's more predictive than your horoscope and considerably more data-backed. Dr. Axline shares how Mavera’s swarm of AI models situates these synthetic humans within real-world business contexts to forecast decisions, measure emotional resonance, and even test marketing messages before they go live. From governance and model drift to the surprising uses in financial services, political campaigns, and speechwriting—this is one of the most forward-looking conversations we’ve had yet. If you've ever wanted a deeper understanding of how AI can augment decision-making—or just want to hear Frank admit asset managers love ice cream—this one’s for you. LinksLearn more about Mavera:https://mavera.ioConnect with Jill Axline on LinkedIn:https://linkedin.com/in/jillaxlineMorningstar:https://www.morningstar.com Time Stamps00:00 - Introduction & AI Swarms Explained 03:30 - Forget Personas: Contextual AI Models 07:00 - Evidence vs Inference & AI Governance 10:20 - Simulation Scenarios & Model Drift 14:30 - Synthetic Audiences in Action 18:00 - Evidence Feedback Loops & Small Data Challenges 22:00 - Industry Applications & Use Cases 27:00 - Analyzing Speeches & Emotional Resonance 30:45 - Sentiment, Social Listening, and Real-Time News Reactions 34:00 - Adversarial Models & Strategic Pushback 38:00 - The Cartoon Bank Portal That Failed Spectacularly 41:00 - From Skeptic to CEO: Jill’s Journey 45:00 - Data Privacy, Compliance & Synthetic Ethics 48:00 - Reflections on Empathy, Engineers, and Selling Without Selling Support the ShowIf you enjoy Data Driven, leave us a review on Apple Podcasts or your favourite pod platform. It helps more people find the show—and fuels Frank’s Monster Energy habit.

In today’s show, BAILeY, your semi-sentient hostess with the mostest metadata, teams up with Frank La Vigne to welcome the ever-insightful Andrew Brust for a deep dive into the evolving Microsoft data ecosystem. From nostalgic tales of Windows history and scoring elusive Clippy swag at Ignite, to unraveling what makes Microsoft Fabric a game-changer for data integration, AI, and governance, this episode covers it all. You’ll hear firsthand how Microsoft’s innovation goes far beyond the tech itself—focusing on seamless integration, unified billing, and organizational synergy. Andrew Brust sheds light on the journey from fragmented Azure services to the unified vision of Fabric, the rise of generative AI and “agentic” intelligence, and the increasingly important role of data sovereignty and governance in today’s regulatory landscape. Whether you’re a data enthusiast, an AI tinkerer, or just in it for the nostalgia, grab your headphones and get ready for insights, laughs, and more acronyms than you can shake a dataset at. Stay curious and caffeinated—this episode has something for everyone! Time Stamps00:00 Microsoft Expertise and Industry Analysis 03:18 "Big Data and Analytics Insights" 08:31 Power BI's Rise in Azure 12:26 "Unified Fabric-Based Data Platform" 14:01 "Fabric IQ Powers AI Integration" 17:24 "Achieving Synergy Against Odds" 23:32 "Unified Compute for Seamless Integration" 24:41 "Overwhelmed by AWS Complexity" 28:21 "Microsoft Research Powers Azure Fabric" 34:20 "Azure Foundry and Tools" 37:33 "Flexibility Beyond Major Cloud Providers" 41:33 Global Data Privacy Trends 45:13 "Governance for Agentic AI" 47:29 "Azure Stack and Local Clouds" 50:13 "Kubernetes: The Cloud Caveat" 53:40 "Let's Reconnect and Reminisce"

Welcome to a milestone episode of Data Driven! In episode 400, hosts BAILeY, Frank La Vigne, and Andy Leonard gather to reflect on nearly a decade at the forefront of podcasting about data, AI, and the world of software engineering. This special edition takes you behind the scenes with stories of tech evolution, personal growth, and the wild journey from their earliest recordings to today’s AI-powered workflows. The team digs into how generative AI has transformed their creative process—making it possible for small teams to produce vast amounts of content, drive innovation, and manage multiple podcasts at a high level. You'll hear about Frank’s latest tool, Podsy—a platform built to help creators manage the ever-growing tsunami of podcast assets using cutting-edge AI—and how tools like Claude, Grok, and Opus are unleashing new possibilities for automation and storytelling. With their signature tangents, candid stories (including car accidents, water heater mishaps, and parenting milestones), and a bit of nostalgia about the early days of podcasting, this episode captures what makes Data Driven both insightful and relatable. If you’re a developer, data professional, or a fellow podcaster looking to stay ahead of the curve, episode 400 is packed with practical lessons, inspiration, and a few good laughs. Dive in as the team celebrates what’s possible in the age of AI—and look ahead to an exciting new chapter for the show! Time stamps00:00 "DGX Spark: Personal AI Supercomputer" 03:28 "Tech Innovations and Hardware Updates" 07:51 "Daily 5:40am Notification Routine" 11:10 "Podzi: Managing Podcast Assets" 15:35 "Boosting Value with AI Efficiency" 17:05 Claude Enhanced Legacy System 23:32 AI Impact on Creative Roles 25:58 "Consulting Break: Investing Time" 29:33 "Automation Evolution and Tools Demo" 31:35 "Podsy Studio: A Journey" 35:06 "AI-Powered Content Creation Demo" 38:26 "Podcast Organization and Insights" 42:10 "Streamlining Metadata for Insights" 45:47 "Unveiling AI's Hidden Potential" 50:41 "Celebrating 400 Podcast Episodes" 54:41 "Off Track Ambitions" 57:44 "Reality Strikes Back: Tech Trust" 59:36 "Podsy Progress and Workflow"

In this episode of Data Driven, hosts Frank La Vigne, Candace Gillhoolley, and BAILeY sit down with Mike Armistead, CEO of Pulse Security AI—a cybersecurity veteran who's been fortifying digital defenses since before AI made headlines and hackers had professional profiles. Together, they dig into the dual-edged sword that is artificial intelligence in cybersecurity, exploring how AI serves as both a powerful tool against cyber threats and a potential weapon in the wrong hands. Mike Armistead shares stories from the front lines, including his experience during the "code red" era at Google when ChatGPT shook up the tech world, and offers real-world advice on why LLMs (large language models) aren’t the magic fix for every problem—and why they desperately need guardrails. You’ll hear why your next big data breach could be hiding in a cleverly crafted AI prompt, why humans still matter when it comes to judgment calls, and why good old-fashioned security hygiene is as critical as ever. Whether you’re a developer, data scientist, or just password-paranoid, this episode will make you rethink how you approach security in the age of AI. Tune in for expert insights, hard-earned lessons, and a few laughs as the Data Driven crew uncovers where technology, risk, and "common sense" collide. Time Stamps00:00 AI-Assisted Cybersecurity for SOCs 04:26 "AI Rush and LLM Insights" 09:12 AI-Powered Cybersecurity Strategy Insights 10:01 "Cybersecurity, ChatGPT, and Impressions" 13:17 AI Tools: Power and Risks 18:06 "Teaching Critical Thinking in AI Era" 20:59 "Guardrails and Next-Gen AI Systems" 24:22 Human Judgment vs AI Limitations 27:37 "Pressure Testing for Accuracy" 30:09 Future Tech Advancements and Challenges 34:58 "Risk Awareness Beyond Compliance" 37:38 "Cybersecurity Risks and AI Defense" 41:54 Cybersecurity Risks and Preparedness 43:04 "Situational Security in Practice" 46:05 "Cybersecurity's Evolving Threat Landscape" 51:52 "Builders vs. Destroyers Mindset" 55:05 Modern Password Practices 56:39 "Pulse Security AI & Community"

In this episode, Frank La Vigne sits down with Itay Haber, CEO of Data Noetic, to unpack how AI is revolutionizing supply chain management. Forget spreadsheets and dashboards—Data Noetic is building an autonomous digital brain that proactively tackles delivery bottlenecks and bridges the gap between scattered data and process improvement. You’ll hear real-world tales of missed bathroom tile deliveries, multi-million dollar construction delays, and the true impact of getting ahead of supply chain hiccups before they snowball. The trio explores how agentic AI isn’t just hype: it’s driving tangible results, saving time, boosting KPIs, and reimagining how companies of all sizes make decisions. From pharmaceuticals to consumer packaged goods, discover why trust, transparency, and agility are the new gold standards in supply chain operations—and how data-driven agents just might become indispensable. Tune in for a masterclass that balances digital wisdom with a dash of dry wit, and learn how emerging tech is helping organizations deliver on time, in full, and with a whole lot less existential angst. Time stamps00:00 "Autonomous Supply Chain Optimization" 06:01 "Optimizing On-Time Delivery Failures" 07:27 Proactive Warehouse Order Management 13:06 "Aligning Perception with Reality" 15:08 "Streamlining Order Fulfillment Process" 18:18 "AI Revolutionizing Problem Coordination" 22:18 "Data Validation and AI Insights" 25:04 Predictive KPI Monitoring with Gen AI 27:09 Clarifying Questions for Assistance 31:37 "Tailored Software Delivery Models" 34:35 "AI's Role in Complex Industries" 37:00 "AI Focus and Value Debate" 42:37 "AI Bubble and Valuations" 46:43 AI's Transformative Impact on Jobs 48:17 AI Enhances Jobs, Not Replaces 51:44 "AI: Boom, Bust, Transformation" 57:38 "AI, Data, and Change"

Welcome to another exciting episode of Data Driven! On this week’s show, hosts Frank La Vigne and Candace Gillhoolley take you inside the NVIDIA GTC conference in Washington, DC—an event that’s rapidly evolved from a hardware showcase into a crossroads for AI, robotics, and quantum computing innovation. Frank shares his firsthand experience navigating the expo floor, offering a glimpse into the latest cutting-edge tech, from GPU supercomputers to quantum networking breakthroughs and swarms of robots. Candace and Frank discuss the growing intersections between fields like quantum biology and AI, and share stories about the curious mix of attendees—from government officials and policymakers to technologists, students, and even a few cosplay “Jensen Huangs.” Whether you’re a data enthusiast, a future-focused technologist, or simply quantum curious, this episode dives into the national security implications of AI, the importance of lifelong learning in tech, and how the rise of quantum and robotics will disrupt careers and industries alike. Tune in for insider anecdotes, expert encounters, and a dose of practical wisdom about adapting in the world of emerging technologies—the future is here, and it’s happening faster than ever. Links Frank gets a shout out from Pluralsight -https://www.pluralsight.com/resources/blog/upskilling/frank-lavigne-customer-storyJensen Huang's DTC DC Keynote -https://www.youtube.com/watch?v=lQHK61IDFH4Mariya & Python Simplified -https://www.youtube.com/@pythonsimplified Time Stamps00:00 "Nvidia GTC Highlights and Expo" 03:36 "Quantum, AI, and Innovation Highlights" 07:18 Tech and Government Amid Furlough 10:24 "Tech Components in Booz Allen Vehicle" 14:37 Meeting Maria Shah 19:11 Career Shifts and Evolutions 23:06 From Books to Tech Publishing 24:44 Quantum Insights with Researcher 29:01 "Nvidia: Emerging Defense Contractor" 32:25 Tech Innovations: AI, Quantum, Robotics 36:44 "Live Streaming Quantum & Tech" 37:40 "High-Speed Quantum Interconnects" 41:01 Technical Translation for Accessibility 44:19 "High School, Future, Nvidia Innovation" 49:28 "Guest's Learning Experience" 50:45 "Quantum Business Strategy" 53:36 British AI Outro Stream

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 Updates 05:22 "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 Memory 01:05:12 "Artistic Talent Meets Engineering" 01:14:08 "Data, AI, and Mastermind Insights"

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/3VH9aUv Time Stamps00:00 "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. Time Stamps00:00 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! Time Stamps00:00 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

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 Code 08:18 Cross-Platform Utility Development 12:14 Database Costs Drop, Demand Surges 14:43 Unauthorized Copying of Software Manuals 17:54 "Chunked Narratives Enhance LLM Performance" 19:43 Grox Impressive Despite Incompletion 24:40 Reviving a Startup with AI 28:53 Bottleneck Identification and Resolution Strategy 29:37 Incremental Improvements Drive Success 34:40 Agile's Evolution: Remembering Its Roots 38:41 Balancing Features and Tech Debt 42:50 Software Estimations: A Management Trap 45:55 Managing Project Time Expectations 47:47 Trust Building Through Incremental Delivery 51:23 Language Models: Human Cognition Parallel? 56:04 "Exploring Intelligence: Brains vs. AI" 58:06 "Data Driven Episode Conclusion"

On this episode of Data Driven, we’re shuffling up some probability, statistics, and a bit of Las Vegas magic with Dr. Michael Orkin—a renowned statistician, data scientist, and former advisor to casino odds makers. Hosts Andy Leonard, Frank La Vigne, and BAILeY dig into the fascinating numbers behind games of chance, uncovering why the house almost always wins and how our brains are wired to find patterns—sometimes where none exist. Whether you’re a data enthusiast, a casual gambler wondering why your lucky streak never lasts, or just curious about how randomness, probability, and big jackpots work, this episode has you covered. Dr. Orkin breaks down concepts like the house edge, expected value, card counting, the allure (and statistical pitfalls) of lottery tickets, and the psychology driving “hot” and “due” gambling strategies. Plus, he weighs in on lightning strikes, Black Swan events, correlation and causation, and the curious human habit of seeing connections in random outcomes. So, get ready for a lively conversation that reminds us data is everywhere—especially where stakes are high and luck seems just out of reach. Whether you’re here for probability puns, real-world math, or the stories Vegas doesn’t want you to know, this is one episode you won’t want to miss! LinksThe Story of Chance https://amzn.to/45qOe8x Dr Mike's Substack https://drmikeorkin.substack.com/ Moments00:00 Casino House Edge Explained 08:54 "Random Chance and Unlikely Events" 12:03 Justifying Buying Lottery Tickets 16:58 "SBF: Crypto King Unraveled" 26:34 Lightning Strike Probability Calculation Issues 32:26 Average Beyond Desk Boundaries 33:26 "Defining Accident Prone" 39:31 Misjudging Odds with Normal Curve 45:50 Avoiding Lightning Strikes: Bay Area 55:11 Casino Mind Games Experience 56:20 Roulette Betting Strategies: Apophenia 01:03:33 "Dr. Orkin's Website & Substack" 01:07:19 "Probability and the House Edge"

Welcome to another episode of Data Driven, where we delve deep into the crossroads of data, technology, and the ever-shifting world of geopolitics. In this packed episode, hosts Frank La Vigne and Bailey are joined by Christopher Nuland, AI technical marketing manager at Red Hat, for a candid, no-holds-barred discussion on the newly released America's AI Action Plan. Together, they tackle everything from the resurgence of Cold War tensions in the AI arena to the complexities of “AI sovereignty” and what it really means for the US, China, and the rest of the world. Expect spirited debates about EU’s place in the global AI race, the real-world implications of chip supply chain disruptions, and the heated rhetoric around workforce security in an era when AI is starting to replace traditional jobs. The conversation weaves through existential questions—can AI ever truly reason, or are we just witnessing the rise of superpowered “spreadsheet goblins?”—and gets hands-on with the very real risks (and opportunities) of rolling out LLMs in everyday workplaces. Plus, the team touches on power-hungry data centers, potential impacts on the job market, and even finds time to swap sci-fi references from The Expanse to Ghost in the Shell to help paint a picture of what our AI-dominated future might look like. Buckle up for a dense, dynamic, and dangerously nerdy journey into the world of AI policy, technology, and what it means for all of us. Let’s get into it! Timestamps00:00 AI Geopolitics & America's Action Plan 08:14 EU's Role in Tech Hierarchy 14:10 "US Focus: Securing AI Workforce" 20:40 Supply Chain Security in Software 24:24 Politicians' Technical Proficiency Limits 27:19 AI Sovereignty and Cultural Values 33:52 CHIPS Act: Innovation and Expansion Hopes 38:11 "AI Vulnerability: Patch Attacks" 47:58 Maryland Power Line Controversy 50:09 "AI Impact on Jobs & UBI" 55:47 Techno Feudalism Perspective 01:04:41 "AI Sovereignty: A Geopolitical Chess Match"

In today’s conversation, hosts BAILeY and Frank La Vigne sit down with Dr. Alan Becker, co-founder and CEO of E Self AI and former co-founder of Voca AI, which was acquired by Snap in 2020. Dr. Becker brings a powerhouse combination of academic expertise and entrepreneurial experience, with a PhD in machine learning and AI and research spanning voice, NLP, and computer vision. This episode dives into how E Self AI is transforming human-machine interaction by moving beyond chat and voice—introducing real-time face-to-face video AI assistants. Imagine smarter digital avatars that don’t just talk but engage visually and contextually, delivering personalized tutoring, streamlined customer service, and even real estate tours. Along the way, the conversation goes deep: they discuss the pyramid of engagement from text to voice to fully visual interaction, and what the next generation of AI means for education, accessibility, and the way we connect with each other. Dr. Becker offers insights from his research on multimodal AI and reflects on the very philosophical questions these new technologies raise—like authenticity, connection, and the future of what we call “real.” Whether you’re curious about the engineering magic behind lifelike avatars, the ethical dilemmas of AI interviews, or how technology is reshaping the learning experience, this episode is a fascinating look at where artificial intelligence—and humanity—are headed next. Strap in, update your firmware, and get ready to stay Data Driven. ESelf Website: https://www.eself.ai/ TimeStamps00:00 "Exploring AI with Dr. Becker" 05:49 Accessibility Drives eSelf's Innovation Journey 06:58 Advanced Voice Interaction Evolution 11:33 Personalized Tutoring via Multimodal AI 14:33 AI in Sci-Fi and Real Life 16:21 Understanding Users Via Encoding Algorithms 19:44 Digital Twin to AI Avatars Transition 23:14 AI Misunderstandings Due to Background Noise 27:19 AI's Role in Job Interviews 32:36 Nvidia Tool Alters Eye Contact 35:15 AI-Human Communication Blur 38:31 Reality and Gaming Perception Debate 41:51 Influencer Reality vs. Perception 44:45 Identity and Authenticity Dilemma 48:30 "Influencer's Authenticity vs. Flashiness" 53:22 Fake Celeb Math Explainer TikToks 56:10 "AI's Future: Human-Like Interaction" 57:07 Data-Driven Focus

Welcome to another episode of Data Driven—the podcast where we explore the future of technology, one neural network at a time. In this episode, your hosts Frank La Vigne and Bailey are joined by Christopher Newland, Principal AI Technical Marketing Manager at Red Hat, globetrotter, and resident connoisseur of computer flea markets. Together, they embark on a lively journey through the ever-evolving landscape of artificial intelligence. You’ll hear tales of racking servers in suburban garages, nostalgic detours through the golden age of CompUSA and cable boxes, and candid reflections on building (and rebuilding) home labs. But it’s not all geek nostalgia. The conversation dives deep into the highly-discussed AI 2027 report—a speculative look at how AI might break free from human control, achieve superintelligence, and fundamentally alter our relationship with technology and society. They unpack the challenges of AI infrastructure, the real-world limits of doomsday predictions, and the growing importance of data privacy and AI sovereignty. It’s a spirited, thought-provoking, and sometimes hilarious ride through past, present, and possible futures of artificial intelligence. So grab your favorite GPU-powered device, settle in, and get ready for a fascinating exploration of what might just send our world delightfully sideways by 2027! Time Stamps00:00 "AI 2027: Future Unplugged" 05:47 Nvidia DGX Spark: AI Desktop Revolution 09:42 "Experienced Workers Elevate Retail Experience" 11:41 Early PC Build Challenges 17:00 Supply Chain Management Challenges 19:35 Garage Tech Showcase Challenges 23:22 AI Deception and Arms Race 24:34 Robotics Future and AI Manpower 29:15 Concerns with 2027 AI Report 32:41 Balancing Regulation and Free Market 37:04 "Theoretical Limits of AI Models" 38:32 "AI Sovereignty Discussion" 43:03 "Stay Curious, Stay Data Driven"