AI

About AI at Global Engage

AI in life sciences has moved past the pilot phase. Foundation models are being fine-tuned on proprietary R&D data, generative chemistry is compressing hit-to-lead timelines, and clinical operations teams are automating protocol design, site selection and safety monitoring. The bottleneck is no longer the model, it's the operating model around it.

Global Engage's AI programme is built for the leaders responsible for making this real: heads of computational biology, digital and data officers in pharma and biotech, translational informatics leads, and the regulators shaping how AI-enabled evidence is accepted. Sessions pair peer-reviewed case studies from Roche, GSK, AstraZeneca and Novartis with candid discussion of what didn't work.

Expect deep-dive tracks on GxP-grade MLOps, validation frameworks for generative models, prompt and evaluation strategy for regulated environments, and the human capital challenge, how organisations are actually restructuring teams around AI-native ways of working.