SESSION

CDEROne Data Lakehouse for Efficient AI and Data Governance

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Science and Machine Learning
INDUSTRYHealth and Life Sciences, Public Sector
TECHNOLOGIESData Sharing, AI/Machine Learning, Governance
SKILL LEVELIntermediate
DURATION40 min

The CDEROne Data Lakehouse Platform was developed with Databricks and is transforming FDA/CDER's data management landscape. This platform unifies diverse data types—structured, unstructured, and semi-structured—and eliminates silos, optimizes processes, and overcomes challenges while seamlessly integrating with robust tools in a high-performance computing environment. Hosted securely on AWS's FISMA High Government Cloud, the CDEROne Platform enables collaborative AI development, empowers data scientists, and provides for a multi-tenant governance structure. Databricks in CDEROne has revolutionized FDA/CDER's review process through its advanced AI/ML capabilities. As a centralized data repository, Databricks manages metadata contents, stores information in a machine-readable format, and simplifies downstream data operations. This implementation has streamlined manual operations, improved response times, and enhanced the efficiency of the drug review and approval process.

SESSION SPEAKERS

Venu Boppana

/Strategy & Innovation Leader
US FDA

Ethan Chen

/Director, Division of Data Management
US FDA