Life Science AI Exchange: Illustrations of Value Delivered by AI

How do we move beyond the hype and rigorously demonstrate the value AI delivers in scientific and enterprise settings? This webinar brings together leading voices from academia, pharma, and biotech to tackle one of the most pressing questions facing organisations adopting AI today.
 
Our expert panel will explore three complementary perspectives:
 
Benchmarking Chemical Reasoning in LLMs — How do large language models really perform when faced with specialist scientific reasoning? We’ll look at new approaches to structured evaluation that reveal both the capabilities and limitations of AI in chemistry and related domains.
 
Evaluating Biomedical NLP in Practice — Claims of impressive zero-shot performance don’t always hold up under scrutiny. We’ll examine findings from large-scale evaluations of language models on biomedical text tasks, and explore what the gap between claimed and actual performance means for real-world deployment decisions.
 
Comparing Value: AI Agents vs Traditional ML — AI agents and traditional data science require very different skillsets, deliver different kinds of value, and demand different ROI benchmarks. We’ll present a practical framework for how organisations can assess and compare these distinct approaches when making investment decisions.
 
Whether you’re building the case for AI adoption, evaluating tools for deployment, or looking to establish robust measurement practices, this session will equip you with concrete approaches to understanding — and communicating — the genuine value AI brings to life sciences and beyond.