used 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
used 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
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.
Published by Alation on its own site — read the original case study on alation.com ↗
Note: URL redirects to Alation's generic Resource Center hub page (title 'Data Intelligence Resource Center | Alation Resources'); confirmed no Pfizer-specific content exists on it -- effectively a dead/removed link.
Related use cases
- 01AbbVie: Democratizing Data and Removing Silos with a Data Catalog
- 02How CHOP Is Building an AI-Ready Healthcare Organization with Data Intelligence and Trust
- 03Customer Case Study: HBF Health Ltd.
- 04Alation: The Front Door to Data Intelligence at Sallie Mae
- 052,500+ users use Alation to find data (non-health
- 06The $25 Million Reason Georgia-Pacific Rebuilt Its Data Foundation