Everyone wants AI value, but fewer organizations are prepared to support it.
That gap is widening fast. Today, AI is raising the stakes on data management challenges sitting in plain sight for years: inconsistent definitions, disconnected systems, unclear ownership and too much dependence on manual interpretation. These issues are not only slowing decision-making; the greater risk is they create an ecosystem of fragmented governance that makes it harder to scale data and AI use cases with…