SESSION

MLOps and AI Governance in Healthcare: Providence's Use Case

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Governance
INDUSTRYHealth and Life Sciences
TECHNOLOGIESAI/Machine Learning, GenAI/LLMs, Governance
SKILL LEVELIntermediate
DURATION40 min

In this session we will describe the progress Providence has made over the past year implementing a robust framework for MLOps in our secure Azure Cloud Environment. This includes the development of an AI/ML model marketplace in collaboration with Databricks, model deployment via CICD, system level AI governance and guardrails, and a framework for model risk management and monitoring. Taken together these accomplishments have enabled Providence to achieve the joint goals of moving rapidly to expand our use of AI, including LLMs, while serving our communities in a safe and equitable manner.

SESSION SPEAKERS

IMAGE COMING SOON

Lindsay Mico

/Head of Data Science
Providence

Vivek Tomer

/Director of Data Science
Providence