Poor data quality currently blocks most enterprises from scaling AI adoption. Companies are shifting focus from flashy tools to the unglamorous work of rebuilding their underlying data architecture. This pivot forces CTOs to prioritize data hygiene over model selection. Clean pipelines now dictate the actual performance of enterprise AI deployments.