Industry3h ago
Enterprises Overhaul Data Stacks For AI Scale
Poor data quality currently blocks most enterprises from scaling AI adoption. While consumer tools dazzle, MIT Technology Review reports that corporate leaders must prioritize unglamorous data cleaning and infrastructure over model selection. This shift forces a rebuild of the legacy data stack. Practitioners must fix underlying data pipelines before deploying agentic workflows.