As enterprises move from AI experimentation toward scaled, agentic systems, access to the right data is becoming a critical constraint. Organizations need more than large volumes of information. They need representative, permissioned, safe-to-use data and realistic scenarios that allow AI systems to be developed, tested, and trusted before deployment. Synthetic data can help fill that gap by expanding scenario coverage, creating controlled edge cases, and enabling repeatable testing without relying solely on sensitive production data.
Join Bob Parr, KPMG Principal, and Fabiana Clemente, Senior Director - Distinguished Engineer, KPMG US and Founder, YData, for a practical discussion on how synthetic data is emerging as a strategic capability for enterprise AI. They will explore:
