Synthetic data is moving from “nice to have” to training infrastructure

A Crescendo AI roundup highlights synthetic data as an enabling layer for AI work in regulated settings, citing healthcare and MIT-related protein-based drug design as an example. The broader signal is operational: synthetic data is increasingly treated as necessary infrastructure when real data access is constrained by privacy, governance, or scarcity.