Assembling the data stack: what pharma needs from external knowledge in the age of AI agents
06 May 2026
Data Quality
- How are research teams combining external knowledge bases like literature, patents, trials, grants, and datasets, and where does it break down?
- What are organizations looking for from external data providers, and what's on the horizon?
- How do you manage and harmonize data across multiple external providers with different formats, standards, and levels of enrichment?
- What role does grounding in full text, beyond title and abstract, play in making data AI-ready?
- As AI workflows become more autonomous, how do organizations maintain provenance and traceability back to source data?
Industry Expert
