At Oracle AI World, Larry Ellison delivered a keynote blending grand AI vision with Oracle's practical enterprise solution: ...

Enterprises adopting AI cannot afford to be slowed by database lock-in. As the vector ecosystem evolves, the winners will be ...

The aggregation of healthcare data is hampered by issues such as fragmented systems, lack of data quality, and integration ...

The increasingly popular Model Context Protocol lets AI models access applications, but studies show that the best generative AI bots struggle with planning across a variety of tasks.

Focusing on the limitations of traditional control hardware and centralized databases, Trihedral's Barry Baker highlights how ...

For years, Oracle has found itself solidly in the second tier of cloud providers, well behind the top three of Amazon Web ...

Explore the importance of data management in proteomics, highlighting robust bioinformatics infrastructure and community ...

AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...

The core of this patent lies in utilizing RAG (Retrieval-Augmented Generation) technology combined with large models to achieve intelligent generation and dynamic maintenance of database table field ...

Oracle Autonomous AI Database, and OCI Generative AI service, and incorporates Nvidia accelerated computing infr ...

Realistic, real-time voice generation for conversational AI, a plug-and-play AI infrastructure stack, video with consistent ...

Oracle AI Database 26ai architects AI into the core of data management, furthering Oracle's commitment to help customers securely bring AI to all their data, everywhere. This milestone advances Oracle ...