‘New generative AI features introduced in Autonomous Database by Oracle’

Oracle Enhances Autonomous Database with Conversational AI and Generative Models

Oracle has expanded its suite of generative AI tools for its Autonomous Database, introducing conversational AI, a wide range of large language models, new analytics for knowledge graphs, spatial learning, and no-code modeling capabilities.

With the integration of generative AI models into its database offerings, Oracle aims to make these models more dynamic by linking them to real-time data. The overarching goal of Autonomous Database Select AI is to provide insights in natural language, eliminating the need for users to understand the intricacies of data storage.

Among the new features added to Oracle Autonomous Database are:
– Select AI, which leverages Large Language Models (LLMs) to generate SQL queries based on natural language interactions. This feature allows applications to combine private data with generative AI and supports multiple models.
– Spatial machine learning, an extension of Oracle Machine Learning that utilizes location data to enhance model performance and supports spatial algorithms.
– Model monitoring user interface, a no-code interface within Oracle Machine Learning designed to simplify model monitoring and identify concept and quality drift.
– Operational graph views on knowledge graphs, a new no-code user interface that enables graph analytics on knowledge graphs without data duplication, examining connections.

Oracle executives have confirmed that Select AI is now available in Oracle Autonomous Database and can be utilized in any database application. This release follows closely on the heels of Oracle’s announcement regarding the general availability of its Oracle Cloud Infrastructure Generative AI service, signaling the company’s commitment to integrating generative AI throughout its portfolio and applications.