Design & Stress-Test · Alation
got AI into production using governance as the foundation (non-health
Alation is a data-catalog and data-intelligence platform that tells a pharma team what data actually exists, who owns it, and whether it is trustworthy enough to support an AI use case.
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 Alation on its own site — read the original case study on alation.com ↗
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- 01used Alation's data-catalog/AI-analytics platform to break down cross-divisional data silos and help identify/treat rare diseases (cited example: identifying patients with transthyretin cardiomyopathy, often misdiagnosed
- 02democratized biopharmaceutical data access, breaking down silos and increasing discoverability/collaboration with Alation Data Catalog (published as a webinar, not a written case study
- 03built an "AI-ready" healthcare organization by establishing trust in its data
- 04reduced risk by improving data consistency
- 05built a "front door to data intelligence" via comprehensive data governance (non-health; financial services
- 062,500+ users use Alation to find data (non-health