Design & Stress-Test · Alation
built an "AI-ready" healthcare organization by establishing trust in its data
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 ↗
More like this
Related use cases
- 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
- 03reduced risk by improving data consistency
- 04built a "front door to data intelligence" via comprehensive data governance (non-health; financial services
- 052,500+ users use Alation to find data (non-health
- 06rebuilt its data foundation across 32,000 employees/150+ facilities (non-health; manufacturing