This panel examines where and how synthetic data can outperform or augment real-world datasets. Panelists will share case studies from industries like finance, healthcare, and autonomous systems where synthetic generation has filled critical data gaps. Expect an honest discussion about performance tradeoffs, regulatory scrutiny, and what synthetic data pipelines actually look like in production.