The Synthetic-Real Divide: Architecting the Next Generation of Production AI Data Pipelines
Executive Overview As artificial intelligence systems transition from experimental sandboxes to mission-critical enterprise infrastructure, machine learning (ML) engineering teams face a foundational architectural dilemma: the choice of data. For years, the prevailing wisdom treated training inputs as a monolithic resource—a pool of records fed into algorithms regardless of origin. Today, however, the industry is witnessing…
