Synthetic data is transforming how organizations scale AI while navigating strict privacy and regulatory constraints. This session explores how to govern synthetic data responsibly—addressing risks like bias, re-identification, and model performance gaps while still unlocking innovation. Through practical examples using
SAS Data Maker and SAS Viya, you’ll see how to build a governed pipeline that integrates privacy controls, bias detection, lineage tracking, and model validation. The session provides a hands-on framework for turning synthetic data from a compliance risk into a trusted foundation for AI.
Presenter: Vrushali Sawant, SAS
Watch the recording
