Building a better future for female health
Flo Health moved to the Databricks Data + AI Platform to centralize data for its 75 million users, running 400 analytics experiments per quarter, powering AI health predictions and fine-tuning LLMs for a Health Assistant chatbot, with internal monthly active users on the platform up 45%.
Overview
Flo Health moved to the Databricks Data + AI Platform to centralize data for its 75 million users, running 400 analytics experiments per quarter, powering AI health predictions and fine-tuning LLMs for a Health Assistant chatbot, with internal monthly active users on the platform up 45%.
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Inspect the highlighted sourceThe challenge
As Flo Health experienced rapid growth, their previous data infrastructure faced significant hurdles; scalability issues emerged as data volumes surged, decentralized data systems and siloed teams hindered innovation, and business data users were limited to SQL queries, creating an over-reliance on the engineering team to build data pipelines.
The solution
Flo Health adopted a modern lakehouse architecture on the Databricks Data + AI Platform, using Delta Lake with a medallion architecture, Databricks SQL for analytics/BI, Unity Catalog for fine-grained access controls and compliance with women's health privacy regulations, MLflow for the ML lifecycle, and is piloting AI/BI Genie plus fine-tuning LLMs for a Health Assistant chatbot.
Reported business value
Flo Health's internal monthly active users jumped by 45% and weekly active users by 57%, the platform runs 400 analytics experiments per quarter, and 46% of employees actively engage with Databricks monthly.
Sources
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