Oracle converges the AI data stack to give enterprise agents a single version of truth
Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a lakehouse require sync pipelines to keep context current. Under production load, that context goes stale. Oracle, whose database infrastructure runs the transaction systems of 97% of Fortune Global 100 companies by the company'…
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