Seminar Review: Life Science AI Exchange – March 2026

The Pistoia Alliance Life Science AI Exchange seminar (March 2026) explored how the life sciences industry can better measure, benchmark, and realise the value of AI. Speakers from academia, pharma, and technology highlighted rapid advances in AI capabilities—particularly in scientific reasoning—while emphasising persistent challenges around evaluation, data quality, and overconfidence in model performance.

The session underscored the importance of rigorous benchmarking, combining AI with structured data approaches like knowledge graphs, and adopting practical frameworks to assess real business impact. Industry insights revealed a significant gap between AI ambition and organisational readiness, with skills, governance, and interoperability emerging as key barriers. Overall, the seminar highlighted the need for more disciplined measurement, stronger collaboration, and increased AI literacy to enable reliable and scalable adoption across the sector