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How do you move AI from experimentation to organisation-wide impact in an industry where compliance is non-negotiable?


Across life sciences, the pressure to deploy agentic AI across processes and within functions is real, but so are the barriers: data readiness, governance, and adoption. Effectively developing and scaling AI relies on more than the technology infrastructure to carry the models and orchestration; it also invariably means radically redesigning how employees interact with data and processes day-to-day. 


In this session, we’ll explore the potential impact as well as the organisational side of scaling AI in life sciences, with real industry examples.


Key takeaways


This short session will give you:

  • A view of what the path from roadmap to real-world use actually involves, and why so few use cases make it to deployed cross-company solutions
  • A perspective on developing and scaling advanced AI across processes
  • An ability to help navigate the organisational challenges that most often get in the way

Any questions?