Autonomous AI systems depend on data governance

As autonomous AI systems become more prevalent, the focus is shifting from model training and monitoring to robust data governance, recognizing that the quality, consistency, and oversight of data significantly influence system behavior. Fragmented, outdated, or poorly managed data can lead to unpredictable AI outputs, posing risks in regulated industries and customer-facing applications. Companies like Denodo are addressing this challenge by providing platforms that enable organizations to access and manage data across multiple sources without physical data movement, creating unified views that facilitate consistent policy application and improve AI reliability. This development underscores the critical importance of data governance in ensuring the safety, compliance,