Connecting fragmented systems across discovery, clinical trials, and manufacturing is essential to reducing drug development timelines and operating costs. This special edition guide explains how combining knowledge graphs with unified data governance creates a factual foundation for AI across the life sciences value chain. Readers will learn practical strategies for deploying generative, agentic, and private AI models that maintain strict GxP compliance and auditability.
