Topic
AI
From foundation models to production deployment, our AI events convene the leaders scaling AI safely across regulated industries and critical infrastructure.
- Enterprise AI deployment at scale
- AI governance, safety and assurance
- Talent, capability and operating models
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.
Upcoming AI conferences
Digital Pathology and AI Congress
The advances and applications of digital pathology; artificial intelligence and machine learning for primary diagnosis and clinical research.
- Dates
- 9–10 Dec 2026
- Location
- London, UK
Past editions
AI & Cybersecurity Leaders Summit: ASEAN
Securing Asia's AI-driven digital transformation.
- Dates
- 6–6 Aug 2026
- Location
- Kuala Lumpur, Malaysia
Reports
View allSelf-learning AI: a boost for digital pathology
Self-learning artificial intelligence approaches are offering a number of advantages for digital pathology when compared to established AI options
Videos
View allSlide decks
View allSpatial Omics in Lung Cancer: Merging Transcriptomics and Proteomics for Deeper Insights
Slides: Kimberly Smythe, Head of Translational Pathology, Fred Hutchinson Cancer Center
Clinical Biomarkers and Therapy Candidates via Spatial Analysis
Slides: Alexander Xu, Assistant Professor of Bioengineering, University of Maryland
Reimagining Pathology: A Seamless Transformation from Slides to Generative Insight
Slides: Osamu Iizuka, CEO, Medmain Inc.
Making the Business Case for Digital Pathology in Pharma and Consultancy
An Interview with Dr. Elizabeth Neyens
Related topics
FAQs
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