Data & AI Mastery: The AI Executive Podcast
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.
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.
Show Trailer
Latest Episode
Bridging AI Research and Real-World Impact - Dr. Petar Veličković, Senior Staff Research Scientist at Google DeepMind
In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma sits down with Dr. Petar Veličković, Senior Staff Research Scientist at Google DeepMind and Affiliate Lecturer at the University of Cambridge.
Together they explore how cutting-edge AI research transitions from theory to practice, spanning from breakthroughs in graph neural networks that power Google Maps worldwide, to the use of AI as a discovery partner in mathematics. Petar shares his journey from Serbia to Cambridge to DeepMind, and the pivotal lessons learned at every stage.
Listeners will also hear how DeepMind’s graph machine learning models improve global travel-time predictions in Google Maps, how AI can accelerate scientific discovery, including mathematical proofs and what the concept of an “AI scientist” might mean for the future of research.
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