Master Data Quality Challenges as a Barrier to AI Integration in Large-Scale Enterprise Systems
The article identifies three results: master data defects move through reporting and AI pipelines, S/4HANA transformations expose tolerated legacy errors, and AI readiness requires governed data quality gates before model deployment.