Synthetic data is valuable in enterprise IT for bypassing privacy and regulatory barriers, enabling development without real user data. It aids in prototyping and model training in regulated industries like healthcare and finance. However, challenges include potential privacy leaks, over-reliance, and quality concerns. Proper practices are essential for effective use.













