Case Study: Livongo achieves faster, more accurate personalized health recommendations with Bridge

How a Development Mindset Propels a Future-ready Organization

Livongo is a consumer digital health company that helps people with chronic conditions (like diabetes and hypertension) make smarter, whole-person care decisions by turning real-world health data from connected devices and apps into personalized recommendations. To do this it needed to aggregate large volumes of disparate data, run real-time machine learning at scale, and break down siloed teams — challenges that were slowing ETL, model development, and operational collaboration.

Databricks provided a fully managed cloud platform with automated, autoscaling infrastructure, managed MLflow for the end-to-end ML lifecycle, and an interactive workspace for cross-language collaboration. As a result, Livongo accelerated model development and delivery, produced more accurate recommendations for members faster, and improved collaboration across data teams, leading to better patient outcomes.

Livongo

Carrie Berg

Director of Learning and Development