Data & AI Mastery

In this episode of Data & AI Mastery, we’re joined by Zaman Hussain, Chief Data Officer at Great Ormond Street Hospital (GOSH), to explore how data and AI are revolutionising healthcare. Zaman shares his journey from growing up on a council estate to leading data initiatives at one of Europe’s largest pediatric hospitals. He offers valuable lessons on leadership, problem-solving, and the power of a proactive mindset. We dive into the unique challenges of managing healthcare data, from improving patient outcomes to streamlining hospital operations. Zaman highlights how GOSH is leveraging AI for natural language processing in patient interactions and discusses the hospital’s innovative approaches to integrating workforce and patient data for predictive decision-making. If you’re interested in the intersection of healthcare and data science or looking for practical tips on leading data transformations, this episode is for you! Chapters [01:09] Zaman shares his inspiring journey from his humble beginnings to becoming Chief Data Officer at Great Ormond Street Hospital. [07:19] Zaman provides an overview of his role, the hospital’s scale of operations, and the unique challenges of managing data in a healthcare setting. [09:27] An exploration of how healthcare organisations, including GOSH, leverage data to improve patient outcomes and operations. [15:37] Zaman highlights innovative projects at GOSH, including AI-powered natural language processing tools and predictive staffing models. [19:42] The pair discuss the importance of data quality, stakeholder engagement, and starting small with an MVP approach. [23:27] Zaman answers rapid-fire questions about his favourite school subject, programming language, and music genre. [25:42] Key lessons on blending technical skills with communication and starting small to drive impactful data projects. Links Zaman Hussain LinkedIn - https://www.linkedin.com/in/zaman-hussain-841a8582/ GOSH Website - https://www.gosh.nhs.uk/

Data is one of the most powerful tools that an organisation has, crucial for connecting with business goals and creating measurable impact. But without a solid strategy in place, data risks becoming more of a burden than a valuable asset. That’s where today’s guest comes in—Monica Jones, Chief Data Officer (CDO) at the University of Leeds. Monica is a technical expert and strategic leader with a wealth of experience across the education, healthcare, science, and technology sectors. She currently leads the development and execution of the University of Leeds’ Data Strategy, driving transformational change through the Data Transformation Programme. Our host, Raoul, sits down with Monica to discuss how using data strategically can help make better decisions and improve outcomes across the entire organisation. Monica shares insights into her career path and evolution in data and technology, detailing how she laid the groundwork for her success as CDO. She also offers expert advice on how to negotiate budgets to secure the resources necessary for impactful change, as well as her proven process for developing and implementing a winning data strategy. Lastly, she dives into how she led the creation of a centralised data service model at the University of Leeds, stressing the importance of ownership, accountability, and making data a shared responsibility. For deeper insights and practical tips from Monica, tune in now to learn how to make data truly work for you! Chapters [1:37] Introduction to Monica’s career journey through leadership and technology [5:50] Navigating the first 90 days as a Chief Data Officer at the University of Leeds [8:27] Breaking down the budget and negotiation strategy for data transformation [11:02] Outlining the development of a clear, impactful data strategy [16:10] The importance of transparency and accountability in data strategy [19:10] The power of a centralised service model for data management [23:40] Next stages of Monica’s work to advance data literacy and maturity [25:50] Rapid-fire questions [27:23] Key takeaways from this episode Links Monica Jones LinkedIn University of Leeds’ Data Strategy

The world of data has been forever changed by the rise of AI. In an industry evolving rapidly, with new tools emerging nonstop, it can feel almost impossible to keep up. But one quality remains essential to staying ahead: a commitment to curiosity and continuous learning. In that spirit, we’re excited to introduce Data and AI Mastery, a brand-new podcast, where we’ll share inspiring lessons from leaders shaping the future of data and AI worldwide.  In one of our very first episodes, host Raoul-Gabriel Urma, founder of Cambridge Spark and a leader in transformational data and AI upskilling, welcomes Peter Laflin, Director of Data and Analytics at Morrisons. With over 20 years of experience, Peter has helped countless business leaders translate their visions into data-driven strategies and solutions. Raoul and Peter dive deep into the many different ways AI is revolutionising business operations, with a particular focus on demand forecasting and supply chain optimisation as very powerful applications transforming retail. As someone who’s been using AI tools long before the hype, Peter gives us the inside scoop on the real-world challenges and benefits of AI adoption. He also offers expert tips for finding the sweet spot between theory and practice, always keeping the ultimate goal in sight: building customer-centric, valuable solutions that solve real problems.  As he wisely puts it, sometimes “good enough is good enough." So, how do you know that’s the case for your customer?  Tune into this episode to find out. You’ll get loads of insights on effectively deploying and optimising AI to deliver real customer value, so don’t miss out! Chapters [2:07] Introduction to Peter’s career journey in data and analytics, from early passion for numbers to becoming the Director of Data Analytics at Morrisons [7:12] Leveraging AI to improve retail operations, specifically focusing on demand forecasting and supply chain optimisation [11:40] The critical role of accurate demand forecasting in supply chain optimisation [14:30] Navigating the trade-offs between data quality and model improvement [17:52] Balancing between academic theory and real-world application in data science [19:49] Applying theory to practice and solving real-world problems [23:56] Using computer vision and AI to improve retail operations and tackle the biggest challenges [27:00] Advice for fellow data scientists [28:20] Quickfire questions [28:55] Key takeaways from this episodes Links Raoul-Gabriel Urma LinkedIn Peter Laflin LinkedIn Morrisons Website

In a world that seems to be changing every day, success no longer lies only in technical skills but also in a proactive mindset, genuine curiosity, and a commitment to learning. Our guest this week, Ranil Boteju, has embodied these three attributes throughout his remarkable career. As the Chief Data and Analytics Officer (CDAO) at Lloyds Banking Group, Ranil is dedicated to leveraging data and AI to help Britain prosper.  In this episode of Data & AI Mastery, he sits down with host Raoul to discuss his senior leadership journey, data-driven transformation projects, and AI's growing potential in the banking industry. Ranil walks us through his key responsibilities and challenges as CDAO and what it takes to navigate complex transformations in this high-level position.  He also outlines the strategy behind Lloyds’ major data transformation project, sharing key metrics and details of the bank’s approach to AI. A strong advocate for democratising AI, Ranil is passionate about empowering not just specialists but everyone to understand and leverage AI’s potential.  The insights he shares in this episode are just one of the many ways he is committed to making AI accessible and impactful for all. If you’re looking for guidance on how to create value with advanced analytics, data, and AI, there's no better mentor than Ranil. We highly recommend listening to this full episode for an inspiring conversation! Chapters [2:03] Key strategies for advancing to senior leadership roles [7:38] Explaining the key responsibilities and challenges as CDAO at Lloyds Banking Group [9:45] Sharing a typical week as CDAO at Lloyds [12:57] Modernising the data estate at Lloyds and outlining the strategy behind the bank’s major data transformation project [15:14] Discussing the main KPIs to track data transformation progress [17:07] Discussing AI strategy and approach to AI focusing on scalability, coordination, and key areas of AI development [20:00] Balancing innovation with ROI and AI implementation [22:08] Navigating the “innovator’s dilemma” and balancing legacy with innovation [24:49] Quickfire questions [29:49] Key takeaways Links Ranil Boteju LinkedIn Lloyds Banking Group