Helena Andres Terre

Associate Director, AI and ML UCB

Agenda Day 2

As AI initiatives move beyond pilots, R&D organisations must balance the need for

broader, higher-quality data with access restrictions, compliance requirements

and scientific rigour. Synthetic data can provide more than a safe alternative

to sensitive information, enabling teams to expand model development, test

decisions and accelerate AI deployment across regulated R&D.

• Expand the range of R&D challenges AI can address by generating

representative datasets where real-world data is scarce, sensitive or

fragmented

• De-risk AI-driven decisions through virtual experimentation and scenario

testing before committing resources to laboratory or development activities

• Scale synthetic data as an enterprise AI capability through governance

that assures scientific validity, traceability and regulatory compliance

Check out the incredible speaker line-up to see who will be joining Helena.

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