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Data Driven

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 Ciencia Ciencias Biológicas Matemáticas
Episodios
  • The AI Driven Leader: Rethinking Strategy, Decision Making, and Personal Growth
    May 22 2025

    Welcome to the season nine premiere of Data Driven, where we kick things off with a thought-provoking deep dive into the world of AI-powered leadership. In this episode, hosts Frank La Vigne, Andy Leonard, and BAILeY are joined by Geoff Woods, bestselling author of "The AI Driven Leader." Together, they explore how artificial intelligence is quickly evolving from a tactical tool that writes emails and automates tasks to a transformative thought partner that can help leaders navigate high-stakes business decisions, develop innovative strategies, and even challenge their own thinking.

    Geoff challenges the notion that AI is just another tech buzzword and shares real-world stories of executives using AI as a strategic confidant—literally building virtual AI boards featuring iconic figures like Steve Jobs and Warren Buffett. He breaks down his practical CRIT framework (Context, Role, Interview, Task), offering listeners actionable ways to move beyond surface-level AI use and harness its power for exponential personal and business growth.

    Whether you’re a seasoned data scientist, a curious executive, or just someone looking to level up your leadership skills, this conversation will inspire you to reconsider how you work with AI—and how much more you can achieve when you use it as your smartest collaborator yet. Get ready to have your assumptions challenged, your creativity sparked, and your sticky notes filled with new ideas. Let’s get data driven!

    Timestamps

    00:00 "AI: Your Strategic Cofounder"

    05:26 Strategic Leadership with AI

    07:35 "Focusing on 20% High-Impact Tasks"

    11:07 AI Strategies for Debt Restructuring

    13:28 AI in Negotiations: Role Play Insights

    19:01 Mentor in Your Pocket

    21:52 "Imaginary Advisory Board"

    25:17 "Starting AI: First Domino Approach"

    28:33 Coaching Corporate Growth Strategy

    31:51 Interactive Knowledge Experience

    35:06 "Becoming an AI-Driven Leader"

    38:54 "Visionary Super Connector"

    43:06 Leadership Beyond Technology

    47:11 Rethinking AI and Strategic Questions

    49:26 "AI-Powered Strategic Visioning"

    53:29 "Choosing Growth Over Perfection"

    56:24 AI Achievements: Overcoming Imposter Syndrome

    Más Menos
    58 m
  • *Special Announcement* From 386 Computers to AI Leadership: Our Season Nine Kickoff
    May 21 2025

    Andy and I are kicking off Season Nine of Data Driven with a bang: an insightful interview with Jeff Woods, author of “The AI Driven Leader.”

    Andy, Bailey, and I are thrilled to bring you brand-new conversations, deep dives, and data stories all season long. Stay tuned for the official release, and as always, thank you for being part of our data-driven journey.

    Listen for the Season Nine kickoff soon!

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    1 m
  • Jacob Leverich on Efficiency, Elegance, and the Joy of Not Grepping log files at 2AM
    Apr 22 2025

    This week, Frank sat down with Dr. Jacob Leverich—Stanford PhD, cofounder of Observe, and a veteran of the Google MapReduce team and Splunk. Jacob’s journey, from tinkering with video game code as a kid, to innovating at the cutting edge of distributed systems and energy efficiency, is as inspiring as it is informative.

    Key Takeaways
    • Early Tech Roots: Hear how curiosity with QBasic and classic PCs (think IBM PCXT and Commodore) put Jacob on a path to high-impact data engineering.
    • MapReduce, Dremel, & the Rise of Big Data: Jacob pulls back the curtain on working with some of the most influential data processing tools at Google and how these systems shifted the entire data landscape (hello, BigQuery!).
    • Building Efficient Systems: It’s not just about scale—energy efficiency and performance optimization are the unsung heroes of today’s data infrastructure. Jacob explains why making things “just work” isn’t enough anymore.
    • The Realities of Ops & Observability: Remember the days of grepping logs at 2AM? There’s a better way. Jacob shares how platforms like Observe help teams consolidate, visualize, and act on operational data—turning chaos into actionable insight.
    • Bridging Data & Ops: The lines between data observability and traditional ops are blurring, and Jacob’s unique experience shows how best practices from data warehousing are finally making ops smoother (and less sleepless).
    • Power Concerns & the Future: As data grows, so does energy consumption in data centers. Find out why optimization isn’t just good for performance—it’s key to sustainability.

    Timestamps

    00:00 Interview with Jacob Levrich

    05:59 Journey into Game Programming

    06:43 "Pursuing Fast Video Game Code"

    10:23 Data Processing and Power Efficiency

    16:11 Snowflake's Transformative Database Approach

    19:18 Journey to Data Management Industry

    21:37 Data Products: Solving Core Challenges

    27:07 Early Web Log Analysis Techniques

    28:57 Consolidating Data for Efficiency

    33:23 Specialized Tools and Context Switching

    35:43 Unique Dual-Expertise in Tech

    38:58 User-Centric Business Strategies

    42:13 IP Data Analysis in Cloud

    47:23 Electricity Transport Upsets Local Farms

    48:25 Shift to Parallel Computing

    52:10 Hardware Specialization & Software Optimization

    57:32 "Stay Data Driven"

    Más Menos
    58 m
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