Part 5/11:
Transitioning from historical analytics to modern generative AI, Gopinath highlighted how advanced models are transforming knowledge management within pharma companies. The core approach involves collecting extensive organizational data—from PDFs and presentations to audio/video files—and processing it through parsing, summarization, and embedding generation.
This setup creates a smart, searchable knowledge library accessible via semantic search tools—allowing users to pose complex questions and receive detailed, contextually relevant responses. For instance, a business user could ask about the market trend of a specific drug and obtain comprehensive insights without extensive manual data analysis.
However, implementing such solutions introduces challenges: