Source: SiliconANGLE
Companies chasing generative AI deployments are discovering that model selection matters far less than the unglamorous work of cleaning, organizing, and governing training data—a realization forcing CFOs to redirect budgets from software licenses toward data engineering teams. Enterprise AI performance scales with data quality, not model size, which explains why organizations are now hiring data stewards and building governance frameworks before deploying models.