Core Insights - Oracle has integrated AI into its flagship database, enhancing data management and enabling customers to gain insights and productivity across multicloud and on-premises environments [1][2] - The new Oracle Autonomous AI Lakehouse supports the Apache Iceberg open table format, allowing customers to leverage Oracle AI Database for their data lake data [1][5] AI Integration - Oracle AI Database 26ai incorporates AI across the entire data and development stack, including AI Vector Search, AI for Database Management, and AI for Analytics, facilitating sophisticated AI workflows [1][2] - The database's built-in AI capabilities provide customers with flexibility in building and deploying AI applications, supporting various frameworks and protocols [2] Data Protection - Oracle AI Database implements NIST-approved quantum-resistant algorithms for data encryption, enhancing security against future quantum computing threats [3] AI Features - The database includes advanced features such as Unified Hybrid Vector Search, enabling retrieval of various data types, and built-in data privacy protection measures [9] - Oracle AI Database 26ai allows customers to build and manage in-database AI agents using a no-code visual platform, simplifying AI adoption [4] Performance and Scalability - The Autonomous AI Lakehouse delivers Exadata-powered performance and serverless scaling, available on major hyperscalers [5][6] - Oracle Exadata enhances AI performance by offloading vector queries and providing low-latency data access [9] Future Developments - Planned features for Oracle AI Database 26ai include a Private AI Services Container for secure AI model deployment and integration with NVIDIA for accelerated computing [9][10]