Many organisations are exploring AI, but few see their pilot projects through to production. Recent figures suggest that up to 88% of AI PoCs (Proofs of Concept) fail to launch. This session takes a closer look at why that is, and what can be done differently to increase success rates.
Grounded in a real-world case study with the Medicines and Healthcare products Regulatory Agency (MHRA), this conversation will reflect on the full lifecycle of an AI project – from early ideas and feasibility, through pilots, and into live production.
The panel brings together voices from data, engineering, delivery, and project management to share lessons from a successful GenAI implementation that is now helping to inform transparent AI in regulation around the world.
Programme Manager, MHRA
Deputy Director of Strategy and Architecture, MHRA
Head of Consultancy, Audacia
Principal Software Consultant, Audacia
Senior Data Scientist, Audacia