described as a Databricks/AWS customer using the Lakehouse Platform in Databricks newsroom/partner material; no dedicated `/customers/amgen` story page could be found live (404) — flagged as unconfirmed/no story page, not fabricated as a full case study.
described as a Databricks/AWS customer using the Lakehouse Platform in Databricks newsroom/partner material; no dedicated `/customers/amgen` story page could be found live (404) — flagged as unconfirmed/no story page, not fabricated as a full case study.
Databricks is a unified data-and-AI lakehouse platform, used across pharma R&D for everything from early prototyping to production model governance via Unity Catalog.
This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.
Published by Databricks on its own site, referenced in Databricks’s own case-study library without a standalone URL.
Related use cases
- 01Novo Nordisk Transforms Clinical Trials With AI
- 02How Regeneron is discovering new treatments with AI
- 03How AI is changing drug discovery
- 04Bayer transforms global data management with Databricks
- 05Delivering timely insights that drive better patient care
- 06Optimizing healthcare revenue cycle management