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 internal R&D data with external knowledge bases, 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 do ontologies, knowledge graphs, data lakes, and modern retrieval techniques play in making data AI-ready?
- As AI workflows become more autonomous, how do organizations maintain provenance and traceability back to source data?
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