Oracle has unveiled significant advancements in its AI Database, enhancing agentic AI capabilities for secure application development across various environments. The platform now allows seamless integration of agentic AI with operational databases and analytic lakehouses, facilitating real-time data access for large language models (LLMs). Key features include Exadata Powered AI Search, which accelerates data queries for complex workloads, and the Oracle Autonomous AI Vector Database, offering developers tools for creating vector-driven applications. The Private Agent Factory empowers analysts to deploy no-code, data-driven agents while ensuring data privacy. Oracle’s Unified Memory Core supports diverse data types for low-latency AI processing. Additionally, the platform introduces measures like Deep Data Security to enforce access rules and enhance risk mitigation. With support for open standards, Oracle enables broader interoperability, allowing customers to build agentic AI applications directly linked to their data without specialized skills. This integration promises security and efficiency for enterprises in the cloud and on-premises.
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