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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 2026 Data Driven Mathématiques Science
Épisodes
  • Why Data Driven Cultures Succeed and Technology Alone Falls Short
    Jun 1 2026

    As we launch season 10, your favorite semi-sentient British AI co-host returns to the microphone alongside Frank La Vigne for a compelling exploration of what it truly means to be a data-driven organization.

    In this episode, Frank sits down with Sebastian Wernicke, author of "Data Inspired" and renowned expert in data and AI strategy, to discuss why turning data into action remains a formidable challenge for so many organizations.

    Together, they dive into the enduring gap between data insights and meaningful change, the crucial role of leaders in fostering cultures of evidence and inquiry, and why technology alone won’t move the needle without the buy-in—and sometimes the irrationality—of humans.

    From the evolution of data culture and the pitfalls of management by numbers, to the psychological barriers that lead to "data frustration," this episode offers a candid, nuanced look at the real obstacles standing in the way of better decisions.

    Links

    Sebastian Wernicke on LinkedIn - https://www.linkedin.com/in/wernicke/

    Watch this episode on YouTube - https://youtu.be/2qP4p0YKxI8

    Data Inspired (affiliate link) - https://amzn.to/4xkCuBV

    Time Stamps
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    1 h
  • Wrangling a Thousand AI Agents: Control, Auditability, and Emergency Shutdowns
    Jun 5 2026

    Imagine waking up to find a thousand AI agents silently making decisions across your company—and no one knows exactly what they're accessing.

    In this episode of Data Driven, hosts Frank La Vigne and Andy Leonard sit down with Ron Longo, CEO of Trustlogix, to explore the evolving landscape of AI governance, security, and data engineering. As enterprises race to integrate AI at unprecedented speed, the noise and confusion have never been greater. Ron Longo unveils the concept of the AI control plane with a "kill switch," discusses the real-world challenges of securing both human and non-human agents, and explains why classic best practices—like least privilege and prompt engineering—are more important than ever in an era where machines operate at breakneck pace.

    Join us as we dive into how Trustlogix keeps enterprise data safe, why innovation must balance with protection, and what it takes to build systems resilient enough for the next wave of AI-driven change. Whether you’re a data engineer, business leader, or just AI-curious, this episode brings practical insights and lively stories from the front lines of AI governance.

    Links
    • Ron's LinkedIn profile -https://www.linkedin.com/in/ronlongo/
    • TrustLogix Web site -https://www.trustlogix.ai/
    • TheDingo -https://www.thedingo.ai/

    Time Stamps

    00:00 Managing data security threats

    05:08 Developing the kill switch concept

    07:20 Enforcing least privilege access

    12:43 AI communication challenges and best practices

    15:40 Revoking agents and data access

    19:25 AI kill switch for security

    22:00 Managing data access with control plane

    25:59 Applying AI to complex environments

    29:45 Discussing data engineering basics

    32:16 Language experts' unique advantage

    33:49 Creating an app with Claude AI

    37:09 Balancing AI and security in enterprises

    43:43 AI's impact on job roles

    44:51 Learning from Air Force RFP

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    47 min
  • Navigating the Wild West of AI in Finance: Policies, Pitfalls, and Opportunities
    May 28 2026

    In this episode, we dive into the rapidly evolving world of AI in the financial sector.

    Frank La Vigne and Candace Gillhoolley are joined by Daniel Yoo, founder and CEO of Finmate AI, a company at the forefront of custom agentic AI solutions for financial advisors.

    Together, they explore how artificial intelligence is transforming internal operations for advisors, the surprising openness of the finance industry to new data practices, and the commodification of once elite services thanks to advanced automation. The conversation also unpacks industry challenges, from regulatory hurdles to the shifting pipeline of talent in both engineering and finance.

    Whether you're interested in the technical underpinnings of agentic AI, policy changes in fintech, or the broader societal implications of AI-driven automation, this episode is packed with insights for data and finance professionals alike.

    Links
    • Daniel on LinkedIn -https://www.linkedin.com/in/smyoo/
    • FinMate's Websitehttps://finmate.ai/
    • Watch this episode on YouTube -https://youtu.be/NV5zOiOXhI0

    Time Stamps

    00:00 Industry's response to data policies

    03:28 The closure of White's Ferry

    09:14 Improving AI for form filling

    11:19 Releasing new Notetaker features

    14:49 Different approaches to technology integration

    18:33 Comparing tool to movie exo suit

    23:04 Human capital in financial industry

    24:34 AI assisting financial advisors

    28:58 AI automating podcast tasks

    30:20 Challenges in AI development costs

    35:15 Son opting out of computer class

    39:47 Early computing and gaming memories

    41:03 Convincing parents about computer science

    44:10 Finding Finmate AI online

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    47 min
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