Every Answer, Traceable to Source: Agentic AI Your Scientists Can Trust

Your AI agents can reach more of your data than ever, but can your team verify where each answer came from? This session covers what grounded, traceable agentic AI requires, and shows an agent's answer followed all the way back to its source record.

Scene - answer and sources, researcher 2

Perspectives on AI, LLMs, and semantic technologies in the life sciences industry group

Register to join

If your team is putting AI agents to work on pharma or biotech data, this session will help you spot what's missing in your stack. Can't attend on the day? Register anyway, and we'll send you the recording and resources after the webinar.

Who should join

This session is for leaders in pharma and biotech who are building, evaluating, or depending on agentic AI:

Heads of data, R&D IT, and scientific informatics
Data science and AI/ML leaders
AI and data platform owners connecting agents to internal and external sources
R&D and domain leaders who need to trust the answers their AI tools return

What you'll learn

Why connecting more data sources can make agent answers harder to trust
What AI agents need underneath them to give grounded, traceable answers
How an agent's answer can be traced back to its source record, in a walk through
How to assess your own stack