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Data & AI Mastery

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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

Inside The Algorithm | Alberto Romero on Engineering AI at scale at Aviva

Inside the Algorithm

Inside The Algorithm | Alberto Romero on Engineering AI at scale at Aviva

On this week's episode of DAIM: Inside the Algorithm, Alberto Romero, director of AI engineering at Aviva, traces his path from InsurTech founder to enterprise AI leader. Alberto explains why prototypes are so often mistaken for finished products and what production readiness really demands once edge cases, drift and adversarial behaviour enter the picture.

Fast Enough to Matter, Careful Enough to Trust: How Leaders Are Governing AI

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.

From FOMO to Strategy: How Haleon's CDAO Richard Moule Is Educating Leaders on AI

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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