Synthetic data moves from privacy workaround to AI development input

Gartner and Forbes both frame synthetic data as a practical response to two persistent AI bottlenecks: privacy restrictions and limited access to usable training data. Together, the pieces show synthetic data shifting from a compliance-adjacent concept to a working input for model development, testing, and cross-team collaboration.