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Data Driven

Data Driven

著者: Data Driven
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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.Copyright 2025 Data Driven 数学 生物科学 科学
エピソード
  • Thanos Diakakis on Surviving the Software Apocalypse – AI, Agile, and Good Engineering
    2025/08/20

    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.

    Links
    • Cosmic 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 Stamps

    00:00 "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"

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    59 分
  • Dr Mike Orkin on Blackjack, Lightning, and Apophenia: The Surprising Psychology of Probability
    2025/08/12

    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!

    Links

    The Story of Chance https://amzn.to/45qOe8x

    Dr Mike's Substack https://drmikeorkin.substack.com/

    Moments

    00:00 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"

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    1 時間 8 分
  • From Cold War to Code Wars: Unpacking America’s Bold AI Strategy
    2025/07/30

    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!

    Timestamps

    00:00 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"

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    1 時間 5 分
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