Learn how Cambridge Spark helps organisations build the data and AI skills leaders need to stay relevant in a fast-moving world: cambridgespark.com

In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma is joined by Sudhish Mohan, Group CIO & CTO UK and Europe at TransUnion, to explore what it really takes to lead data and AI transformation in a highly regulated, high-impact industry.

Sudhish shares his perspective on leading technology and analytics across the credit ecosystem, where decisions affect banks, businesses, and millions of consumers, and why curiosity, judgment, and long-term thinking matter more than ever as AI adoption accelerates.

From developer productivity and fraud detection to data governance and cybersecurity, this conversation cuts through the hype to reveal what AI transformation looks like in practice, not in theory.

Listeners will learn why curiosity is the most important leadership trait in the age of AI, how TransUnion is approaching AI adoption as a slow, deliberate evolution, not a silver bullet, the difference between more data and better data, and what truly makes a strong data environment

Whether you’re a CIO, data leader, or executive navigating AI investment decisions, this episode offers grounded, experience-led insights into building resilient, responsible data and AI capabilities at scale.

Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode.

Chapter Markers:

(01:40) — Sudhish Mohan’s role at TransUnion and its real-world impact

(06:45) — Why most AI initiatives fail to deliver expected value

(10:00) — AI across three buckets: risk, operations, and customer value

(12:30) — Using GenAI to improve service desk and operational workflows

(17:00) — What makes a great data environment

(21:30) — Why curiosity matters more than qualifications

(26:30) — Quick-fire round: favourite subject and learning habits

(28:00) — Raoul’s reflections: cybersecurity, talent, and hybrid cloud

Useful Links:

Connect with Sudhish on LinkedIn

Follow Raoul for more AI insights on LinkedIn

Explore Cambridge Spark’s AI upskilling programmes at cambridgespark.com

Discover how Cambridge Spark helps leaders and teams build the data and AI skills needed to operate in high-stakes, real-world environments: cambridgespark.com

In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma is joined by Andrew Feustel, former NASA astronaut, ISS Commander, and veteran of three space missions.

Andrew has spent over two decades at NASA, flying on the Space Shuttle, leading missions aboard the International Space Station, and performing complex spacewalks to repair critical infrastructure like the Hubble Space Telescope. In this conversation, he shares a rare, human perspective on decision-making in the most extreme data environments imaginable: outer space.

Together, they explore what space exploration can teach business and technology leaders about trust, automation, AI, and the limits of data-driven systems.

Listeners will learn how astronauts rely on data, telemetry, and human judgment during high-risk missions, why data never perfectly matches reality, and why that matters in critical environments and why humans must remain in the loop when decisions carry irreversible consequences

This episode offers powerful lessons for leaders navigating AI adoption, risk management, and decision-making, reminding us that technology is only as effective as the humans who design, trust, and use it.

Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode.

Chapter Markers:

(04:40) — Why data is central to every space mission

(09:40) — Trust, automation, and critical systems in spaceflight

(11:00) — Why we don’t fully trust autonomous systems (yet)

(14:20) — Why AI is essential for space telescopes and discovery

(16:40) — What makes NASA exceptional at preparing people

(19:10) — How AI is already accelerating space innovation

(20:30) — Automated rocket landings and decision systems

(23:50) — Quick-fire round: unforgettable space memories

(28:00) — Raoul’s reflections: trust, AI, and human-in-the-loop systems

Useful Links:

Connect with Andrew on LinkedIn

Follow Raoul for more AI insights on LinkedIn

Explore Cambridge Spark’s AI upskilling programmes at cambridgespark.com

Learn how Cambridge Spark helps organisations build the data and AI skills needed to drive cultural and business transformation: cambridgespark.com

In this special episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma is joined by three senior leaders from Capgemini:

• Claire Williams, Vice President for Analytics & AI in the Retail and CPG sector, leads global data and AI transformation for consumer health organisations.
• Arlene Carsley, Head of Workforce Transformation, focuses on building the culture, skills, and mindset needed for lasting change.
• Mansukh Mann, Managing Consultant in Workforce Transformation, works at the intersection of data, AI, and talent strategy to ensure technology and people move in sync.

Together, they explore what true data and AI transformation look like in practice and why success depends as much on people and mindset as it does on technology.

Listeners will discover why the urgency for AI transformation is being driven from the boardroom down and what that means for leaders, how to balance quick wins with long-term value, how to create momentum without losing strategic focus, why 70% of transformations fail, and how to avoid the common traps of poor sponsorship, misaligned metrics, and siloed thinking.

This episode is packed with practical lessons for executives, transformation leaders, and data professionals looking to turn AI ambition into sustainable impact.

Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode.

Chapter Markers:

(01:38) - What’s Driving the Urgency Behind AI Transformation?

(08:49) - FOBO: Fear of Becoming Obsolete

(12:05) - Leadership Upskilling with Cambridge Spark

(17:12) - Why 70% of Transformations Fail

(23:10) - Early Warning Signs Your Transformation Is Failing

(25:55) - AI for AI’s Sake: A Recipe for Waste

(29:50) - Why Skills, Safety and Experimentation Matter

(34:55) - Balancing Quick Wins with Long-Term Goals

(41:00) - One Piece of Advice for CEOs

(45:40) - Raoul’s Closing Reflections

Useful Links:

Connect with Claire on LinkedIn

Reach out to Arlene on LinkedIn

Learn more from Mansukh on LinkedIn

Follow Raoul for more AI insights on LinkedIn

Explore Cambridge Spark’s AI upskilling programmes at cambridgespark.com

Visit Capgemini’s website for more information