Azure and Databricks Enabling Personalized Customer Experience at CVS Health

Explore how CVS Health leveraged Azure and Databricks to revolutionize customer and patient experiences in this 34-minute conference talk. Dive into CVS Health's journey of implementing machine learning on Microsoft Azure Databricks to personalize interactions for over 80 million customers. Learn about the rapid deployment of their first machine learning model using Apache Spark, which processed billions of transactions within six months. Discover various use cases demonstrating immediate business value, including test-and-learn experimentation for content personalization. Gain insights into the challenges and lessons learned while navigating the evolving landscape of cloud computing and machine learning in healthcare. Understand the technology stack supporting personalization efforts, the impact on customer behavior, and strategies for enabling speed-to-market in a dynamic industry environment.

Intro
CVS Health at a Glance
Understanding CVS customer behavior
Personalization at CVS
Technology to support Personalization
The Personalization Journey
Impact of Personalization
Example Use Case
Enabling Speed to Market
Growth & Performance Challenges
Machine Learning Journey
Finding the Right Tool for the Job
Questions?