Oracle announced new Oracle AI Data Platform capabilities at AI World that help enterprises give AI agents a shared understanding of business entities, relationships, policies, and workflows. An AI discovery agent analyzes database schemas, semantic models, application documentation, and unstructured knowledge to generate business ontologies that domain experts can review and approve. The Oracle Semantic Reasoning Engine then assembles business-ready context, orchestrates retrieval across federated systems, and applies governance controls before data reaches the model, helping reduce repetitive reasoning and optimize token use. Deep Insight Agents use these layers to investigate complex questions, run scenarios, and recommend actions with human oversight. An AI Registry maintains an inventory of agents, tools, and MCP servers, while planned AI Governance and Control capabilities will add testing, monitoring, and cost oversight.
Oracle announced new Oracle AI Data Platform capabilities at AI World that help enterprises give AI agents a shared understanding of business entities, relationships, policies, and workflows. An AI discovery agent analyzes database schemas, semantic models, application documentation, and unstructured knowledge to generate business ontologies that domain experts can review and approve. The Oracle Semantic Reasoning Engine then assembles business-ready context, orchestrates retrieval across federated systems, and applies governance controls before data reaches the model, helping reduce repetitive reasoning and optimize token use. Deep Insight Agents use these layers to investigate complex questions, run scenarios, and recommend actions with human oversight. An AI Registry maintains an inventory of agents, tools, and MCP servers, while planned AI Governance and Control capabilities will add testing, monitoring, and cost oversight.