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"The Foundation for Trustworthy AI: The FAIR Data Playbook for Pharma"

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Is your AI trustworthy? A growing scientific content challenge is making it difficult to trace the data powering AI. This introduces potential regulatory risks and increases the likelihood of unreliable outputs from large language models.

Join us for this valuable and timely webinar to explore how to navigate the path to audit-ready, grounded AI in drug discovery. You’ll discover practical strategies for moving beyond aspiration toward scalable, real-world implementation.

Learn about:

• How to move from unclear copyright policies to a traceable, audit-ready data foundation using FAIR metadata 
• Actionable tips for transforming fragmented information into connected, usable knowledge 
• Approaches that help anchor outputs to structured, verifiable evidence 
• And more

Don’t miss key insights for ensuring your AI systems are reliable, traceable, and compliant. Register now!

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