Data & AI Mastery

Cambridge Spark
  • 5,0 (1)
  • ACTUALITÉS TECHNOLOGIQUES
  • TOUTES LES 2 SEMAINES

In the age of rapid technological change, how can you harness the power of data and AI to transform your business?  Welcome to Data & AI Mastery, the podcast where cutting-edge insights meet practical strategies for success.  Hosted by Dr. Raoul-Gabriel Urma, Founder of Cambridge Spark, this show dives deep into how leading organisations across the globe are using Data & AI to revolutionise operations, streamline efficiency, and drive innovation. Each episode features conversations with senior leaders, revealing their career stories and real-world case studies, and actionable takeaways that you can apply—whether you're climbing the career ladder or already in the C-suite.  From AI-driven solutions to practical tips for navigating your data transformation journey, Data & AI Mastery will equip you with the tools to thrive in the AI era. Stay ahead, stay inspired, and unlock your potential with Data & AI Mastery—your ultimate guide to mastering data and AI for business.

  1. Transforming Healthcare Through Data, AI & Human-Centred Design — Ming Tang, Chief Data and Analytics Officer, NHS England

    -4 J

    Transforming Healthcare Through Data, AI & Human-Centred Design — Ming Tang, Chief Data and Analytics Officer, NHS England

    Learn how Cambridge Spark helps organisations and leaders develop the data and AI skills that drive real transformation: cambridgespark.com In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma speaks with Ming Tang, Chief Data and Analytics Officer at NHS England. Ming has spent her career leading some of the most ambitious digital and data transformations in the UK public sector. Together, they explore how data and AI are reshaping the future of healthcare, from modernising patient journeys and connecting siloed systems to deploying AI tools that help clinicians and operations teams work smarter. Ming’s insights highlight how the right mindset, structure, and curiosity can unlock meaningful impact at scale. Listeners will also discover how the NHS is building a connected, patient-centric ecosystem through the Federated Data Platform (FDP) and the single patient record initiative and why listening and collaboration, not just technology, are key to solving complex system challenges. Whether you work in healthcare, data science, or digital transformation, this conversation offers powerful lessons in leading with purpose, designing around users, and scaling innovation responsibly. Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode. Chapter Markers: (03:30) Lessons from leading large-scale transformation (06:00) Why listening and curiosity matter more than technology (11:00) Designing flexible, modular NHS systems for efficiency and collaboration (15:00) The Federated Data Platform: enabling connected, data-driven care (18:00) Real-world AI applications in the NHS: discharge summaries, voice tech & analytics (21:00) Advice for leaders; adopting AI through curiosity and context (25:00) Raoul’s reflections; leading with empathy, curiosity, and user-first thinking Useful Links: Connect with Ming on LinkedIn Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programmes at cambridgespark.com

    27 min
  2. Bridging AI Research and Real-World Impact — Dr. Petar Veličković, Senior Staff Research Scientist at Google DeepMind

    29 OCT.

    Bridging AI Research and Real-World Impact — Dr. Petar Veličković, Senior Staff Research Scientist at Google DeepMind

    Learn more about how CambridgeSpark.com is helping organisations and professionals master Data & AI skills to stay ahead in the digital era. 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. Whether you’re a data scientist, ML engineer, or executive exploring AI strategy, this episode offers a masterclass in applying AI innovation with purpose and impact. Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode. Chapter Markers: (06:00) - Inside DeepMind; what a Senior Staff Research Scientist does (13:00) - From research to real-world impact: challenges & latency trade-offs (19:00) - AI for mathematics; collaborating with top researchers (25:00) - Defining the “AI scientist” and the future of autonomous research (30:00) - What’s next for AI agents and self-directed systems (31:00) - Quick-fire round; programming languages, school favourites & music (33:00) - Raoul’s takeaways; user focus, AI as a thought partner, safe deployment Useful Links: Connect with Petar on LinkedIn Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programmes at cambridgespark.com

    36 min
  3. Building Pragmatic AI: How Andy MacMillan, CEO at Alteryx, is Empowering Enterprises to Harness Data Effectively

    15 OCT.

    Building Pragmatic AI: How Andy MacMillan, CEO at Alteryx, is Empowering Enterprises to Harness Data Effectively

    Learn more about how CambridgeSpark.com is helping organisations and professionals master Data & AI skills to stay ahead in the digital era. In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma, Founder of Cambridge Spark, sits down with Andy MacMillan, CEO at Alteryx, to explore how businesses can get real about data and make AI truly practical. Andy shares how Alteryx helps people who understand data, but aren’t developers, build automations and AI-driven insights using messy, real-world data. He also offers a candid CEO’s perspective on what it really takes to make AI work at scale, from building AI alongside legacy systems, to designing responsible governance, to empowering every employee to use data effectively. Andy also goes on to share how organisations can move fast and deliver value without waiting for the “perfect” infrastructure. He unpacks what agentic AI really means in the enterprise; how to give AI the right context and business logic to make accurate, trustworthy decisions and why hands-on leadership matters.  Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode. Chapter Markers: (02:00) – What is Alteryx and how it empowers non-developers (08:00) – How CEOs can responsibly bring AI into the business (15:00) – AI’s role in automation and pattern recognition (24:00) – Responsible AI at Alteryx: Data clearinghouse model (27:00) – Quick-fire round: Contrarian views, leadership, and learning (33:00) – Raoul’s closing reflections and key takeaways Useful Links: Connect with Andy on LinkedIn Visit the Alteryx Website Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programmes at cambridgespark.com

    34 min
  4. Driving Data Strategy in Healthcare: Aidan Innes, Head of Data Standards at Nuffield Health

    1 OCT.

    Driving Data Strategy in Healthcare: Aidan Innes, Head of Data Standards at Nuffield Health

    Visit cambridgespark.com to explore how we help organisations upskill their workforce in Data & AI. In this episode of Data & AI Mastery, Dr. Raoul-Gabriel Urma speaks with Aidan Innes, Head of Data Standards at Nuffield Health, the UK’s largest healthcare charity. Aidan shares his unique journey from sports science into data leadership, revealing how he built a strategy that connects patient outcomes, data literacy, and advanced analytics to drive both social and financial impact. Elsewhere in the episode the pair discuss building outcome frameworks that scale across a complex healthcare organisation and how Nuffield Health is leveraging data apprenticeships to boost literacy, save millions, and empower staff. Whether you’re a healthcare professional, a data leader, or simply someone passionate about how data drives impact, this episode is packed with insights and actionable takeaways. Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode. Chapter Markers: (05:00) – COVID-19 rehabilitation programme and measuring outcomes (08:00) – Scaling outcome frameworks across the organisation (12:00) – Technology, governance, and people in data strategy (16:00) – Measuring ROI and success stories in procurement (18:00) – Advanced analytics and award-winning projects (22:00) – Quick-fire round: contrarian views, learning habits, and personal insights (24:00) – Aidan’s vision for the future of data in healthcare (26:00) – Closing reflections and takeaways Useful Links: Connect with Aidan on LinkedIn Visit the Nuffield Health Website Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programmes at cambridgespark.com

    28 min
  5. Should We Still Teach Coding in the AI Era? An Interview with Prof Sue Sentance, Director of the Raspberry Pi Computing Education Research Centre at the University of Cambridge

    17 SEPT.

    Should We Still Teach Coding in the AI Era? An Interview with Prof Sue Sentance, Director of the Raspberry Pi Computing Education Research Centre at the University of Cambridge

    Start your data & AI transformation journey with Cambridge Spark. What does it take to prepare students—and their teachers—for a future shaped by AI? In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma sits down with Prof. Sue Sentance, Director of the Raspberry Pi Computing Education Research Centre at the University of Cambridge, to explore the evolving landscape of computing education.  From the importance of teaching AI literacy and programming skills, to the challenges of teacher development and interdisciplinary learning, Sue offers research-backed insights into what inclusive, future-ready education should look like.  They discuss the role of pedagogy like PRIMM, frameworks such as SEAME, and why critical thinking—not just technical know-how—is essential for navigating today’s digital world. Whether you're an educator, policymaker, or AI enthusiast, this conversation will leave you rethinking how we equip the next generation with the skills to engage with, critique, and shape AI technologies. Chapter Markers: (00:00) Start Your Journey into AI Mastery Kick off with Dr. Raoul-Gabriel Urma as he sets the stage for this episode's deep dive into computing education and AI literacy. (01:20) Discover Prof. Sue Sentance’s Path to Shaping Computing Education Explore Sue’s unique journey from AI PhD to classroom teacher to academic leader in computing pedagogy. (03:29) Unpack the Latest Research in AI and Programming Education Learn about Sue’s current work, including AI education, debugging, and longitudinal studies in physical computing. (04:43) Master the Skills You Need in the Age of AI Find out what essential skills students need today to thrive in an AI-driven world—and why confidence and critical thinking are key. (08:51) Learn Why We Must Teach AI—and How to Do It Effectively Sue explains why understanding AI isn't optional and offers insights on how we can teach it meaningfully in schools. (11:59) Break Down AI Literacy with Real-World Frameworks Get to grips with leading AI literacy models from UNESCO, OECD, and the EU—and their implications for education. (15:01) Get Actionable Advice for Parents Navigating AI and Tech Sue shares how parents can support their children in learning about AI—even without technical expertise. (17:23) Explore the Line Between Teaching with AI and Teaching About It Understand the difference and how educators can responsibly integrate AI tools into teaching practices. (21:26) Debate the Future: Should We Still Teach Programming? Sue tackles the hot topic of whether coding still matters in an age of generative AI—and what we risk if we stop. (24:08) Hear Personal Insights in a Rapid-Fire Q&A Find out Sue’s favourite programming language, subjects at school, and the music that fuels her work. (28:23) Wrap Up with Final Thoughts on Empowering Learners with AI Raoul reflects on key themes, from coding's long-term value to the role of education in fostering AI literacy. Useful Links: Enjoying the Show? If you enjoyed this conversation, help us spread the word: Rate & Review on Apple PodcastsVisit Cambridge Spark to explore programmes that future-proof your data & AI skillsConnect with Dr. Raoul-Gabriel Urma on LinkedInConnect with Prof. Sue Sentance on LinkedInExplore Cambridge Spark’s AI upskilling programs at cambridgespark.com

    31 min
  6. Matthew Cloke, CTO at Endava: Building an AI-Native Organisation and Scaling Adoption

    3 SEPT.

    Matthew Cloke, CTO at Endava: Building an AI-Native Organisation and Scaling Adoption

    Start your data & AI transformation journey with Cambridge Spark. In this episode of Data & AI Mastery, Dr. Raoul-Gabriel Urma speaks with Matthew Cloke, Chief Technology Officer at Endava, about how one of the world’s leading technology companies is embracing AI at scale. Matt shares how Endava created an AI committee to set governance and strategy, built cross-functional champions networks and celebrated AI heroes to drive adoption, and invested in ChatGPT Enterprise across 8,000 employees, achieving 85–90% daily usage. The pair also dive into the business case for AI and how to secure executive buy-in and why creating "wake-up moments" for executives is critical. Whether you’re a senior leader shaping AI strategy or a professional curious about scaling adoption, this conversation is packed with actionable insights. Be sure to follow Data & AI Mastery wherever you listen to your podcasts to never miss an episode.  Chapter Markers: (03:45) Who owns the AI agenda? Inside Endava’s AI committee (10:30) The Champions Network & AI Heroes (15:20) Making the business case for ChatGPT Enterprise (25:30) “Wake up, crawl, walk, run”: driving executive aha moments (29:30) Balancing wait-and-see vs. first-mover advantage (32:40) Quickfire round: contrarian views, environment, favourite language & more (38:40) Closing reflections & key takeaways Useful Links: Connect with Matthew on LinkedIn Visit the Endava Website Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com

    42 min
  7. AI Strategy, Leadership & Future of Work with Tamar Yehoshua, Advisor & Former President at Glean

    20 AOÛT

    AI Strategy, Leadership & Future of Work with Tamar Yehoshua, Advisor & Former President at Glean

    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 Tamar Yehoshua, Advisor and former President of Product & Technology at Glean, and former Chief Product Officer at Slack and VP at Google. Tamar brings decades of experience leading product and engineering teams at the most influential tech companies. Throughout this episode you will learn what AI literacy looks like in the boardroom today and why imagination, not just infrastructure, is the biggest barrier to AI transformation. You will also hear Tamar give us her take on the evolving role of AI agents in reshaping work across engineering, sales, and product and how the next generation of leaders can bridge the gap between incremental improvement and radical reimagination. You’ll also hear insights on how top companies are defining their AI metrics, the role of boards in demanding ROI from AI investments, and why the most successful leaders are those who remain authentic, transparent, and consistent. If you’re navigating AI transformation or leading teams through change, this is a conversation you won’t want to miss. Chapter Markers: (03:45) Tamar's leadership principles (11:44) What metrics matter for AI? (16:28) Use cases and real-world AI agent examples (19:06) What is Glean and how does it work? (25:52) From incremental improvement to reimagination (28:54) Quickfire round: Lisp, math, musicals (29:36) Closing reflections & key takeaways Useful Links: Connect with Tamar on LinkedIn Visit the Glean Website Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com

    33 min
  8. Redefining AI: From Automation to Adaptive Systems with Daniel Hulme, Chief AI Officer at WPP

    6 AOÛT

    Redefining AI: From Automation to Adaptive Systems with Daniel Hulme, Chief AI Officer at WPP

    Learn how Cambridge Spark can help your business transform with data and AI: https://cambridgespark.com In this episode of Data & AI Mastery, host Dr. Raoul-Gabriel Urma sits down with Daniel Hulme, Chief AI Officer at WPP, to explore a bold rethinking of artificial intelligence—beyond automation and into adaptive, evolving systems. Daniel shares how marketing is being reengineered through AI—dynamic segmentation, synthetic audiences, brand-safe content generation, and more—and how businesses must focus on frictions rather than blindly chasing trends. Drawing on decades of experience, he also reveals a powerful framework for AI defensibility built on data, talent, and leadership. This is a must-listen for executives, AI practitioners, and innovators eager to move past hype and into action. 🎧 Enjoyed this episode? Subscribe and follow to catch more discussions with data & AI leaders who are transforming their industries. Chapter Markers: (05:50) The case for goal-directed adaptive systems (08:05) Why businesses chase tech hype instead of solving problems (12:34) Case study: Using AI to augment creativity at scale (15:07) Micro-moments & the future of personalised, timely marketing (17:00) Real-world transformation challenges (and how to overcome them) (19:05) What gives AI efforts defensibility in business (21:39) Biggest misconceptions business leaders have about AI (24:46) Daniel on staying ahead: predictions, neuromorphic AI, philosophy Useful Links: Connect with Daniel Hulme on LinkedIn Visit the WPP Website Follow Raoul for more AI insights on LinkedIn Explore Cambridge Spark’s AI upskilling programs at cambridgespark.com

    29 min
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À propos

In the age of rapid technological change, how can you harness the power of data and AI to transform your business?  Welcome to Data & AI Mastery, the podcast where cutting-edge insights meet practical strategies for success.  Hosted by Dr. Raoul-Gabriel Urma, Founder of Cambridge Spark, this show dives deep into how leading organisations across the globe are using Data & AI to revolutionise operations, streamline efficiency, and drive innovation. Each episode features conversations with senior leaders, revealing their career stories and real-world case studies, and actionable takeaways that you can apply—whether you're climbing the career ladder or already in the C-suite.  From AI-driven solutions to practical tips for navigating your data transformation journey, Data & AI Mastery will equip you with the tools to thrive in the AI era. Stay ahead, stay inspired, and unlock your potential with Data & AI Mastery—your ultimate guide to mastering data and AI for business.

Informations

  • Création
    Cambridge Spark
  • Années d’activité
    2024 - 2025
  • Épisodes
    29
  • Classification
    Tous publics
  • Copyright
    © 2024 Cambridge Spark
  • Site web de l’émission
    Data & AI Mastery

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