Industry6h ago
Enterprises Overhaul Data Stacks For AI Scale
Poor data quality currently blocks meaningful AI adoption across most enterprises. While consumer tools dazzle, MIT Tech Review reports that scaling requires a fundamental rebuild of internal data architectures. Companies must prioritize data hygiene over model selection. This shift forces a pivot from flashy pilots to the unglamorous work of cleaning legacy datasets for LLM integration.