Executive Editor Tim King discusses why universal semantic layers are evolving beyond BI and analytics to become the governance, interpretation, and control layer for enterprise AI. This look at semantic architecture is brought to you by Denodo.
Enterprise AI adoption is accelerating quickly, but it’s clear organizations continue to struggle with what some leaders now describe as the “AI trust gap.” As AI become more deeply embedded into operational workflows, enterprises are discovering that access to data alone is not enough to ensure reliable outcomes, especially as AI requires consistent interpretation, governed access, and trusted context across increasingly distributed environments.
