Precision Medicine AI Platform
Objective
Accelerate AI/ML time-to-impact, from ML development and deployment to monitoring and maintenance. Utilize raw data from multiple sources flowing into a data lake using downstream apps for patients or providers. Integrate disparate data while tracking lineage and data consumption through organization-wide frameworks.
Approach
Engineered modern infrastructure for data+AI/ML, ensuring data privacy and compliance with HIPAA controls. Launched the first use cases on new infrastructure, demonstrating viability and success and driving adoption. Introduced “data product” thinking - how to synthesize user research on valuable intervention points and perform exploratory data science on feasible inferences.
Impact
Data lake and modern data+AI/ML infrastructure enabled new use cases and unlocked new value for customers. ML platform now in 3rd year of use by multiple teams across internal functional areas and for multiple customer-facing products.