Design & Stress-Test · Databricks
transformed its data ecosystem (data silos/redundancy) using Databricks and Unity Catalog; Consumer Health division built reusable core data assets/data products for dashboarding, ad hoc analytics, ML and AI
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.
Source
Published by Databricks on its own site — read the original case study on databricks.com ↗
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