Source: SiliconANGLE
As enterprises deploy autonomous agents to make decisions without human oversight, semantic layers—shared definitions of business data and logic—are shifting from nice-to-have metadata projects to mandatory governance infrastructure. The problem is concrete: agents operating across fragmented data sources need a consistent, trustworthy way to understand what "customer risk" or "inventory threshold" means, or they'll make costly mistakes that no audit trail can explain. This is driving enterprise software vendors to embed semantic capabilities into their platforms. Organizations that have postponed data governance work now face pressure to implement it with agents already deployed.