Customers are pulling data back into the Oracle database as agents demand real-time access

As AI agents increasingly query corporate data alongside human analysts, enterprises face challenges managing information scattered across multiple clouds and systems. Oracle has rebuilt its platform to address this demand, leveraging a shared semantic layer to unify data access. This shift reflects a broader trend where lakehouse architectures optimized for traditional reporting fall short for AI workloads requiring real-time insights.

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