Agentic AI in Life Sciences Relies on Data Readiness and Context
Agentic AI in life sciences fails when data lacks machine-readable context. Well-managed data often breaks down for AI agents because business meaning, workflow logic and domain rules are missing. For more info: https://www.zs.com/insights/data-for-agentic-ai