Data & AI Mastery
Get inspired by our AI focused podcasts
What is the podcast about?
In a world where data is transforming every aspect of business, staying ahead of the curve is crucial. But how do you separate AI hype from real opportunity? That’s where Data and AI Mastery comes in.
This podcast is your source for cutting-edge insights, practical advice, and inspiring stories from the UK’s leading voices in data and AI. We bring you the knowledge and tools to advance your career and make an impact in your organisation. Tune in to Data and AI Mastery - where data-driven progress begins.
Where to listen?
Listen to our podcasts on your favourite platforms
Meet the Host
Dr Raoul-Gabriel Urma
Dr Raoul-Gabriel Urma is an EdTech entrepreneur, author, and international speaker focused on transforming workforce development through data and AI.
As the Founder and Chairman of Cambridge Spark, Raoul leads efforts to upskill employees of top organisations, including M&S and the BBC, with cutting-edge training. He co-invented the patented EDUKATE.AI platform, which personalises learning for data skills.
A member of YPO and affiliated lecturer at Cambridge, Raoul is also pursuing the Owner/President Management Program at Harvard. His best-selling book, Modern Java in Action, has sold over 60,000 copies, reflecting his impact on technology and education.
Latest episodes
Data & AI Mastery
Fast Enough to Matter, Careful Enough to Trust: How Leaders Are Governing AI
In this episode, we bring together some of the sharpest thinking from across the show on AI strategy and governance: the decisions that happen before AI gets deployed and the frameworks that make sure it keeps working once it does.
Data & AI Mastery
From FOMO to Strategy: How Haleon's CDAO Richard Moule Is Educating Leaders on AI
On this week's episode of Data & AI Mastery Richard Moule, Chief Data and AI Officer at Haleon, joins Dr Raoul-Gabriel Urma to discuss one of the most pressing challenges facing large organisations today: how do you build genuine AI literacy across an entire workforce, starting at the very top?
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Inside the Algorithm
Network Forecasting & Data Science Leadership: Dr Judit Guimera Busquets
On this week's episode of DAIM: Inside the Algorithm, Dr Vishal Belle, Reader at the University of Edinburgh, Alan Turing Institute Faculty Fellow and Director of Research and Innovation at the Bayes Centre, unpacks why the answer isn't bigger models; it's better architecture.