Why Poor Data Foundations Undermine AI Success

Organizations are learning a costly lesson: AI does not fail first because of the model; it fails because of the data foundation beneath it. More than half of generative AI projects were abandoned after proof of concept by the end of last year, largely because organizations lacked the data readiness required to move from controlled pilots into production environments. This is precisely why EACOE matters. The Enterprise Architecture Center Of Excellence provides the disciplined, practitioner-based framework required to turn scattered, inconsistent, under-governed enterprise data into an architecture that AI can trust, interpret, and scale against. The EACOE AI Data Modeling Master Class operationalizes that discipline by teaching organizations how to build the semantic, governance, and modeling foundation that production-grade AI now demands. This broadcast is based on the work of Joanne Carew titled How poor data foundations can undermine AI success, CIO – April 17, 2026