Data & AI Mastery

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com In this episode of the Data & AI Mastery podcast, host Dr. Raoul-Gabriel Urma, sits down with Apoorv Kashyap, Head of Artificial Intelligence at Santander UK.  They explore the transformative power of AI in financial services, including how to leverage advanced machine learning models to enhance customer experience, streamline operations, and drive business value.  Apoorv shares his insights on the challenges and opportunities of deploying AI at scale, the importance of ethical AI, and the future of AI-driven finance. Don't forget to subscribe for more insights from AI leaders and industry experts. If you enjoyed this episode, please leave a review and share it with your network. Chapter Markers: (02:15) Apoorv Kashyap’s Career Journey in AI (06:45) Building Scalable AI Solutions (12:30) Overcoming Data Challenges in Financial Services (18:50) The Importance of Ethical AI (24:15) Future Trends in AI and Financial Services (28:30) Closing Thoughts and Key Takeaways Useful Links: Connect with Apoorv Kashyap on LinkedIn Visit the Santander UK Website Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com Follow Raoul for more AI insights on LinkedIn

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com In this episode of Data & AI Mastery, Dr. Raoul-Gabriel Urma sits down with Dave Treat, Chief Technology Officer at Pearson, to explore how one of the world’s largest education companies is leveraging AI and data to deliver more personalised, accessible, and effective learning experiences. With deep insights into the evolution of digital learning, Dave shares how Pearson is integrating generative AI across its content creation, tutoring, and assessment capabilities—while ensuring responsible and ethical use of the technology. From AI-powered learning companions to scalable data infrastructure, this conversation offers a behind-the-scenes look at the digital transformation of education at scale. Whether you're in EdTech, data leadership, or AI strategy, this episode is packed with valuable takeaways for anyone building data-driven experiences at scale. Chapter Markers: (03:28) From capital markets to edtech: Dave’s tech journey (06:10) What digital transformation means in a global education company (08:45) Pearson’s strategy for integrating generative AI (11:52) Personalised tutoring and assessment using AI (15:34) Building a robust data infrastructure for AI at scale (18:27) Balancing innovation with regulation and responsible AI (21:10) Organisational design and AI governance (24:56) AI literacy and upskilling the workforce Useful Links: Connect with Dave on LinkedIn Learn more about Pearson via their website  Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com Follow Raoul for more AI insights on LinkedIn

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com In this episode of the Data & AI Mastery podcast, Raoul sits down with James Utting, Chief Business Officer for the Emerging Technology Group at UBS, to explore what it means to build an AI-first culture in a global financial institution. James starts off by sharing his career journey—from graduate to senior leadership—highlighting the pivotal moments that shaped his expertise in AI strategy, digital transformation, and leadership. He then goes on to detail UBS’s AI-first culture initiative, explaining how the bank empowers employees to integrate AI into daily decision-making, fosters tailored AI education, and ensures governance for responsible AI use. If you're a data leader, AI practitioner, or business executive, this conversation offers valuable takeaways on how to successfully navigate AI adoption at scale. Enjoyed the episode? Subscribe, rate, and leave us a review! Chapter Markers: (01:45) James’ Career Journey & Key Inflection Points (06:31) Why UBS is Developing an AI-First Culture (10:12) Initiatives to Drive AI Adoption at Scale (15:38) The Role of Education & AI Champions in Transformation (20:12) How UBS Prioritises AI Initiatives & Investments (24:45) Quickfire Round: Leadership, Learning & AI for Good (27:16) Closing Thoughts & Key Takeaways Useful Links: Connect with James Utting on LinkedIn Learn more about UBS’s AI initiatives on the UBS Website Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com Follow Raoul for more AI insights on LinkedIn

Rohit Dhawan, Group Head of AI at Lloyds Banking Group, dives into the transformative power of AI in banking. He emphasizes the importance of leadership buy-in for successful adoption and shares insights on how AI enhances customer experiences while streamlining operations. Dhawan discusses the need for comprehensive training programs to upskill employees and ensure they leverage AI effectively. The conversation highlights the future of banking reimagined through AI, focusing on innovation and cultivating a culture that embraces technology.

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com In this episode of the Data & AI Mastery podcast, Raoul sits down with Manfred Boudreaux-Dehmer, the first-ever CIO of NATO, to explore how AI is shaping cybersecurity, digital transformation, and operational efficiency in one of the world's most complex organisations. Manfred shares insights on how NATO is adopting AI to enhance translation services, improve cybersecurity, and streamline enterprise operations. He also discusses the role of hackathons in fostering innovation, the importance of upskilling employees in AI, and the challenges of ensuring responsible AI adoption within a multinational defense alliance. This conversation is packed with valuable lessons for business leaders, technologists, and AI enthusiasts alike. If you enjoyed this episode, be sure to subscribe, follow, and leave a review to help others discover the show! Chapter Markers: (00:00) Introduction to Manfred Boudreaux-Dehmer (02:00) The role of a CIO at NATO (05:30) AI adoption at NATO: Opportunities & risks (08:50) Identifying AI use cases in a complex organisation (14:00) Measuring AI’s impact: Productivity vs. ROI (17:00) How hackathons are accelerating AI adoption at NATO (20:30) Exciting trends and concerns in AI (24:00) Quick-fire questions: Leadership, technology, and music preferences (28:30) Raoul’s reflections and takeaways Useful Links: Connect with Manfred Boudreaux-Dehmer on LinkedIn Follow Raoul-Gabriel Urma on LinkedIn Learn more about Cambridge Spark: cambridgespark.com

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com Welcome to Data & AI Mastery, the podcast that brings you expert insights into how data and AI are transforming industries.  In this episode, Raoul sits down with Richard Masters, VP of Data and AI at Virgin Atlantic, to explore how the airline leverages AI and data-driven strategies to enhance operations, optimise pricing, and deliver premium customer experiences. The pair also go on to discuss why data & AI are critical for airline success, the build vs. buy dilemma in AI solutions, and the importance of a product mindset in AI adoption. Subscribe to Data & AI Mastery to never miss an episode! If you enjoyed today’s discussion, leave us a rating and review. Thanks for listening—stay ahead, stay inspired, and stay masterful! Chapter Markers: (02:30) Why data and AI are crucial for airlines  (07:20) The squad model: How data teams operate at Virgin Atlantic  (13:47) Build vs. buy: How to decide on AI solutions  (18:07) What Gen AI means for Virgin Atlantic  (21:05) Responsible AI: The importance of ethical and safe AI implementation  (24:21) Experimentation vs. long-term AI strategy  (28:13) Quick-fire round: Richard’s industry insights and personal favorites  (30:24) Final thoughts and key takeaways Useful Links:  Learn more about Cambridge Spark: cambridgespark.com  Connect with Richard Masters on LinkedIn: linkedin.com/in/richard-masters Follow Raoul Gabriel Urma on LinkedIn: linkedin.com/in/raoulurma Explore AI & Data Apprenticeships: cambridgespark.com/apprenticeships

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com In this episode of Data & AI Mastery, host Raoul sits down with Prof. Alastair Beresford, Head of the Computer Science Department at the University of Cambridge, to discuss how AI is transforming education. They explore the benefits and challenges of AI-generated feedback for students, the future of coding in an AI-assisted world, and the critical skills learners need to succeed in the next decade. Prof. Alastair shares insights on the ICAP framework for measuring student engagement, the importance of asking the right questions, and the balance between teaching fundamentals vs. relying on automation. The conversation also touches on how universities can adapt assessments to ensure students truly understand the material, rather than just accepting AI-generated answers at face value. If you're interested in how AI is shaping the future of learning and work, this episode is a must-listen! Enjoyed the episode? Subscribe and follow to never miss an episode, and be sure to leave a rating and review to help others discover the show! Chapter Markers (00:00) Guest introduction: Prof. Alastair Beresford, University of Cambridge (03:30) How AI helps students learn faster with personalised feedback (14:45) The Downsides & Challenges of AI in Learning (16:57) The Future of Coding in an AI World (18:00) The Calculator Analogy: Learning vs. Automation (22:00) Why “asking the right question” is a critical skill in an AI-driven world (24:00) AI & The Future of Education (28:00) Quick Fire Questions (30:00) Raoul’s Reflections Useful Links Connect with Prof. Alastair’s on LinkedIn Find out more about GitHub Copilot: AI-assisted coding Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com Data & AI are reshaping industries, but how do organisations like Zurich Insurance stay ahead in this fast-evolving landscape?  In this episode of Data & AI Mastery, Raoul welcomes Alex Sidgreaves, Chief Data Officer at Zurich, to share her insights on leading a data-first transformation in one of the world’s largest insurers. Alex delves into the multifaceted role of a CDO, which has evolved from a technical focus to a strategic one centered on delivering measurable business impact. She explains how Zurich leverages generative AI and automation to address employee pain points, improve customer experiences, and drive operational efficiencies. Alex also shares practical advice on engaging stakeholders, identifying impactful use cases, and the need to stay curious and connected in a rapidly evolving field. Whether you’re a seasoned executive or an aspiring data leader, this episode is packed with actionable insights to help you harness the power of data and AI in your organisation. Chapter Markers: (00:40) Introduction: About Alex Sidgreaves and her role at Zurich Insurance (02:00) The evolution of the CDO role from technical to strategic (06:15) Generative AI: Hype versus reality in the insurance sector (08:30) Targeted use cases and practical applications for generative AI (13:10) Driving adoption by solving real pain points (16:35) Preparing for the future of work: Skills, culture, and adaptability (19:10) Challenges with data privacy, regulation, and trust (20:30) Why collaboration and communication between data and business teams are essential (23:08) Rapid-fire questions Useful Links: Connect with Alex Sidgreaves on LinkedIn Visit the Zurich Insurance Website Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com Data is not a technology concern—it’s a business concern that can drive real impact. This week on Data & AI Mastery, we’re joined by Cassandra Vukorep, Chief Data Officer at Lloyd's, who’s all about making data work for the bigger business picture.  In this episode, she explores why data should be at the heart of your business strategy, not just another tech project. She and Raoul have a fantastic conversation about how Lloyd’s is using data to make a meaningful impact, aligning data initiatives with business goals to unlock real value. One major takeaway from Cassandra’s impressive career and experience as a CDO is that you should start with the corporate strategy rather than the data strategy. As she reminds us, the data supports the bigger vision, not the other way around. Cassandra also talks about the importance of building a culture of data literacy within your team so that everyone’s on the same page and ready to innovate.  Plus, she’s got a lot of great tips on running data projects in manageable sprints and getting buy-in from key stakeholders. So, if you’re looking to turn your data into a truly powerful asset in your business, Cassandra’s insights in this episode will help you drive the change needed to make it happen. Chapter Markers: (01:27) Introduction to Cassandra’s career trajectory, industry transitions, and key milestones (02:52) Exploring the evolving nature of the CDO role and driving value through data (05:04) Running data projects as business initiatives and aligning them with goals (09:21) Navigating ROI challenges and opportunities in data leadership (11:33) The essential role of data literacy in empowering businesses to innovate and adapt (15:26) The key steps for launching a successful data literacy initiative within an organisation (19:10) Addressing the challenges of stakeholder management at Lloyd’s (22:30) Quickfire round questions (25:24) Key takeaways Useful Links: Connect with Cassandra Vukorep on LinkedIn Visit the Lloyd's Website Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com

Learn more about Cambridge Spark and how we’re helping organisations upskill their workforce in Data & AI: https://cambridgespark.com Data is all around us, and when used effectively, it holds the power to transform lives and drive positive change in society. This week, we’re thrilled to welcome Fiona James, Chief Data Officer (CDO) at the Office for National Statistics (ONS), onto the Data & AI Mastery podcast. Alongside our host, Raoul, Fiona discusses how her team is harnessing data for the public good and leading the way in the public sector. In this episode, Fiona shares an inside look into her role as CDO, where she oversees the data that powers the UK's most important statistics. She explores how her team is using AI, specifically through the ClassifAI project, to improve data quality and make business operations more efficient. She and Raoul also dive into the ONS’s commitment to transparency and collaboration, as Fiona explains why they decided to make the AI project open-source. By doing so, they’ve opened the door for other national statistics offices worldwide to learn, collaborate, and advance data-driven solutions globally. One big takeaway from Fiona is the importance of building strong data foundations. She makes it clear that investing in the right infrastructure and having the right people in place is crucial for getting the most out of data and AI. So, if you’re interested in learning more about bringing data to life, this episode of Data & AI Mastery is a must-listen.  Tune in to hear how innovation in data and AI is making waves in the public sector and how ONS is leading the way. Chapter Markers: (01:41) Introducing Fiona James and her role as Chief Data Officer at the ONS  (03:17) Reflecting on the most fulfilling aspects of being a CDO at the ONS (04:56) Breaking down a typical week as CDO [06:42] Discussing the critical components of her role and emphasising the importance of leadership (08:24) Exploring AI innovation at the ONS (13:37) Making data accessible and transparent  (15:27) Expanding AI applications and global collaboration (17:44) Balancing innovation and strategy (20:53) Demonstrating data impact and educating the public (24:10) Tips for staying up to date as a senior leader in the data industry (25:36) Rapid-fire questions (28:07) Key takeaways Useful Links: Connect with Fiona James on LinkedIn ClassifAI project Find out more about Bringing data to life Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com