Case Study: Accolade achieves faster, more compliant AI-powered healthcare experiences with Databricks

A Databricks Case Study

Preview of the Accolade Case Study

Creating seamless healthcare experiences from start to finish

Accolade, a healthcare technology company, was struggling with fragmented data that made it harder to deliver timely care and develop AI solutions at scale. The company partnered with Databricks and its Data Intelligence Platform, including a lakehouse architecture, to unify data and support use cases like large language models and retrieval augmented generation (RAG).

Databricks helped Accolade centralize data, governance, and AI tooling with components such as Unity Catalog, Mosaic AI, DBRX, and Model Serving. This enabled faster answers to complex member inquiries, improved internal search, stronger HIPAA-aligned governance, and major productivity gains, while also giving Accolade better transparency and control over model costs and operations.


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Accolade

Kapil Ashar

Vice President, Enterprise Data and Clinical Platform


Databricks

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