Tia Cheang is a globally recognised Chief Data and AI Officer, board advisor, and keynote speaker shaping how enterprises and governments adopt AI at scale. With more than 20 years’ experience across FTSE and S&P500 organisations, she leads data and AI strategy across a global private equity portfolio. A multi-award-winning executive and Fellow, Tia is recognised for delivering large-scale transformation across industry, healthcare, telecommunications, and government. She advises Westminster, international governments, and the United Nations on AI, cybersecurity, and digital resilience, working with senior political and industry leaders to shape the future of responsible innovation and enterprise AI.

Mike Jones is Chief Technology Officer at loveholidays, where he leads technology strategy across engineering, data and AI. With more than 15 years’ experience, he previously helped scale and sell Uswitch before joining loveholidays in 2019. Today, he is applying AI across customer experiences and internal operations while building the modern technology foundations needed to support the company’s rapid growth across Europe.

Jason Kitcat leads Digital, Data and Technology at the Department for Business, Innovation, Science and Trade. A long-standing champion of technology for good, his career spans the public, private and third sectors, including leadership roles at Essex County Council, Connected Places Catapult and Netmums. He brings a practical, measured perspective on how government can experiment with AI responsibly and turn emerging technology into effective, human-centred public services.

Magid El-Amin is Director of Technology at Catch22, a national social enterprise and charity of 1,000 staff delivering 130+ public services commissioned by Ministry of Justice, Home Office, Department for Education and local authorities. He leads technology, data and AI across the organisation. Magid consolidated 18 disconnected systems onto a single governed data platform and built the £800k investment case that funded it. For the data transformation program, the team were named Non-Profit of the Year at the British Data Awards 2026. On those foundations, Catch22 now runs multiple AI agents in production, and a partnership he built using AI transcription, translation and agentic workflow gives practitioners back three hours a week. Before Catch22, Magid led data and insight at Comic Relief, NSPCC and The Children's Society, where predictive models lifted supporter retention were adopted as a core exec-level metric. He is a Trustee of Refugees at Home, advising on data, analytics and systems which helped the charity scale housing support during the Afghanistan evacuation and the war in Ukraine. He'll share what it took to get AI out of the pilot stage and into everyday frontline use.

Paul Stavrakis is Head of Delivery Transformation at Marsh, where he leads work to improve how product and technology change is planned, governed and delivered. His experience spans insurance, reinsurance, financial services and other regulated environments, working across business, product, engineering and delivery teams to turn complex programmes into measurable outcomes. Paul is particularly interested in moving AI ideas from discovery and early testing into production, with a focus on the governance, cross-functional delivery and adoption needed to achieve measurable value in regulated organisations.