In this episode of The Databricks Diaries, Dan Thornton sits down with Kevin Cassar, Chief Data & AI Officer at TalkTalk to unpack what “AI readiness” really means in practice.

Kevin shares his unconventional journey from equity analyst to enterprise AI leader, and the hard-earned lessons that shaped his focus on business value, risk management, and customer outcomes. Together they explore Kevin’s five pillars of AI readiness — aligning on value, building strong data and tech foundations, putting governance and ethics in place, evolving the operating model from POC to production, and creating the culture shift needed to scale AI responsibly.

The conversation dives into real-world examples, including using AI to spot risk across thousands of regulated firms, improving healthcare outcomes through smarter triage, and practical ways to make AI empowering for frontline teams. If you’re a data or business leader trying to move from experimentation to measurable impact, this episode is packed with frameworks, war stories, and actionable advice.

In this episode, we dive into the world of retail and explore how Domino's Pizza UK&I is leveraging artificial intelligence to transform its operations and customer experience.

Join host Andy Davis as he sits down with Antony Bradshaw, Head of Digital Data and Analytics at Domino's Pizza UK&I. Antony shares his insights on:

The AI Journey at Domino's: How the company is moving from data-informed to AI-driven.

Real-World Use Cases: From optimising store operations to personalising marketing campaigns.

The Power of DataBricks: How the platform enables Domino's to scale its AI initiatives.

Building an AI-Ready Culture: The importance of people, process, and technology in successful AI adoption.

The Future of AI in Retail: Key trends and opportunities Antony sees on the horizon.

Whether you're a data professional, business leader, or simply curious about the future of AI, this episode is packed with valuable insights and practical examples from a leading global brand.

In this episode of The Databricks Diaries, Dan Thornton sits down with Richard Shaw, Technical General Manager for UK & Ireland at Databricks, to explore what it really takes for organisations to become AI-ready. With over six years at Databricks, Richard shares a behind-the-scenes view of scaling a cloud-native platform from startup roots to a global data and AI powerhouse.

The conversation dives into how Databricks partners with customers beyond technology, helping them navigate cultural change, skills gaps, and data maturity on their AI journeys. The episode also covers how Databricks works with partners at scale, keeps teams continuously upskilled, and uses its own platform internally to innovate faster. Packed with real-world insights from the front line, this is a must-listen for data leaders and executives looking to turn AI ambition into business impact.

In this episode of The Databricks Diaries, we’re joined by Denny Lee, Project Management Director of Developer Relations at Databricks, to discuss the future of data engineering, AI innovation, and community building.

Denny shares how Databricks is addressing the global skills gap with initiatives like the Databricks Free Edition, free training programmes, and the MVP programme, empowering developers to succeed in the rapidly evolving world of data science and machine learning.

We also explore the importance of community building through the Apache Spark ecosystem and Dev Connect meetups, and how fostering collaboration drives product improvement. Plus, Denny dives into AI readiness, the value of experimentation, and how organisations can stay ahead in the competitive data and AI landscape.

If you’re passionate about Databricks, developer relations, or the future of AI and data science, this episode is packed with insights you won’t want to miss!

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In this episode of The Databricks Diaries: AI Readiness Series, Andy Davis speaks with Mukund Pandey. The discussion covers the role of governance as an accelerator, embedding compliance and explainability from day one, and how cultural alignment drives adoption at scale. Mukund also highlights practical AI use cases in risk and margin management, intraday exposure, and generative AI for regulatory efficiency.

In this episode, Andy Davis sits down with Jan Beitner, Director of Data & AI at Inflexion, to explore how private equity–backed organisations can turn AI ambition into measurable business value.

Jan shares a clear, ROI-driven framework for getting “AI ready” — from linking initiatives to value creation plans and embedding accountability at the top, to avoiding the trap of chasing technology without purpose.

They also discuss why 95% of AI projects fail to deliver ROI, how to identify automation and product-feature use cases that actually pay off, and why culture, process mapping, and change management matter more than tooling.

Whether you’re in data leadership or just starting your AI journey, this episode will help you refocus your strategy around what really counts — value, accountability, and measurable impact.

In this episode of The Databricks Diaries: AI Readiness, Andy Davis sits down with Jessica Simons-Boswell, Enterprise Data Officer at Diligenta, to explore how financial services organisations can embrace AI while operating in a highly regulated, risk-averse environment.

Jessica shares candid insights on:

• Why financial services often lag in AI adoption — and why that’s not always a bad thing
• The cultural and governance challenges of introducing AI in regulated markets
• Practical, value-driven AI use cases like complaint handling and correspondence automation
• How to manage executive enthusiasm without becoming the “blocker” in the room
• Why clean data, strong guardrails, and transparency are essential for safe AI deployment

A thoughtful, pragmatic discussion on balancing innovation, compliance, and cultural change in the journey to AI readiness. Perfect for data leaders, CDOs, and anyone shaping AI strategy in financial services.

In this episode of The Databricks Diaries, Andy Davis speaks with Jack Levy, Head of Data Strategy at Allvue, about what it really takes to prepare for AI. Jack shares why strong data foundations are non-negotiable, how cross-functional teams accelerate adoption, and why governance and guardrails matter more than ever.

From hackathons and prototyping to practical use cases in data normalisation and product development, Jack offers candid insights on building an AI-ready organisation without losing sight of customer value.

Whether you’re a data leader, product strategist, or simply curious about the future of AI in financial services, this conversation is packed with practical advice and real-world lessons.