Future Directions: AI, Multicloud, and Autonomy

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Bappy10
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Future Directions: AI, Multicloud, and Autonomy

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Oracle's strategy for the future of its database is clear:

AI Integration (Oracle Database 23ai): Deep integration of AI capabilities, including vector search for generative AI, in-database machine learning, and AI-powered optimizations for performance and security. This positions Oracle as a foundational layer for AI applications.
Multicloud Expansion: Continued partnerships and deployments within other hyperscale clouds (Azure, Google Cloud) to provide customers with flexibility and reduce data gravity issues.

Autonomous Database Growth: Further enhancements and wider thailand phone number list adoption of the Autonomous Database, aiming to reduce operational overhead and simplify database management for customers.

Converged Database: Oracle's vision of a "converged database" that supports multiple data types (relational, JSON, XML, spatial, graph, vector) and workloads (OLTP, analytics, mixed) within a single database, eliminating the need for specialized databases for every data type.
Developer Experience: Investments in tools and APIs to make Oracle Database more accessible and appealing to modern application developers (e.g., enhanced JSON support, REST APIs, low-code platforms like APEX).
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