『The Databricks Diaries』のカバーアート

The Databricks Diaries

The Databricks Diaries

著者: Daniel Thornton
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

Have you ever wondered how top companies are harnessing the power of data to drive innovation and stay ahead of the competition? In this podcast, we’ll be speaking to some of the best industry minds and unlocking the secrets to leveraging data like never before. Ready for a data deep dive?Copyright 2026 Daniel Thornton 出世 就職活動 経済学
エピソード
  • AI Readiness in Practice with Claire Thompson, CDO at Quilter
    2026/05/06

    In this episode of The Databricks Diaries, Andy Davis is joined by Claire Thompson, Chief Data Officer at Quilter, to explore what AI readiness really looks like inside a modern financial services organisation.

    Claire shares her perspective on the pace of change in data and AI, why strong foundations still matter, and why organisations cannot afford to wait for everything to be perfect before starting. The conversation covers how to build momentum through practical use cases, engage senior stakeholders, create safe environments for experimentation, and make governance a helpful enabler rather than a blocker.

    Andy and Claire also discuss the importance of continuous learning within data teams, how to prioritise AI opportunities, and why technical teams need to get better at telling the story of the value they create.

    This episode is for data, technology and business leaders who want a grounded view of AI adoption beyond the hype, with practical lessons on moving from early experimentation to scalable, valuable outcomes.

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    34 分
  • AI Readiness Ep 31: Gordon Logan on AI Transformation, From Proof of Concept to Royalties at Scale
    2026/04/21

    In this episode of the Databricks Diaries, host Andy is joined by Gordon Logan, Director of Data Services at PRS for Music, for a deep dive into the unique challenges of preparing a century-old organisation for the AI era. Managing data for over 180,000 members—including composers, songwriters, and publishers—Gordon shares how his team navigates astronomical data volumes driven by the modern shift to streaming and digital consumption. He discusses the critical transition from isolated experiments to a structured, momentum-driven AI strategy backed by executive leadership.

    Gordon explores the essential components of building an AI-ready culture, prioritising data literacy and "AI efficacy" to ensure the workforce uses powerful tools like Copilot ethically and responsibly. The conversation highlights a disciplined, business-led approach to use cases, moving away from "technology vanity exercises" and focusing instead on measurable outcomes like accurate royalty distribution and improved member services. Listeners will learn how PRS for Music employs a cross-functional AI team to stress-test hypotheses, ensuring that every technological advancement facilitates tangible business value while protecting the sensitive data of the UK’s creative community.

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    26 分
  • AI Readiness Ep 30: Building Ethical Data Foundations in Finance with Steve Green.
    2026/04/09

    In this episode of The Databricks Diaries, host Andy sits down with Steve Green, a senior data leader who has navigated the high-stakes intersection of data and AI from both the regulatory halls of the FCA and the front lines of private banking. Steve strips away the persistent AI hype to offer a masterclass on building a truly "AI-ready" business within the rigorous constraints of the financial sector.

    Steve explains why the "garbage in, garbage out" reality remains the biggest hurdle to success and how a horizontal architectural view must prioritise business outcomes over technology for its own sake. The conversation reveals how to align legal, compliance, and IT through ethical control frameworks that maintain trust in generative AI outputs while ensuring foundational data hygiene remains a non-negotiable priority. By moving beyond the simple automation of annoying tasks, Steve challenges leaders to re-engineer end-to-end business processes to capture true value.

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    37 分
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