Case Study: Livongo achieves faster ML and personalized health recommendations with Databricks

Livongo - Customer Case Study

Livongo is a consumer digital health company that helps people with chronic conditions (like diabetes and hypertension) by combining connected devices and apps to generate personalized, real-world health recommendations. To deliver timely, individualized insights it needed to aggregate large volumes of disparate data, run machine learning at scale, and overcome siloed teams and inefficient ETL processes.

By adopting Databricks’ fully managed cloud platform, Livongo automated infrastructure management, used MLflow to track and monitor models, and gave data scientists an interactive, multi-language workspace for collaboration. The result was faster, more accurate recommendations for members, improved team productivity and collaboration, and quicker deployment of predictive models that enhance patient outcomes.

Livongo

Karthik Kappaganthu

Senior Manager for Data Science