Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...

Oracle tackles database infrastructure with its Globally Distributed AI Database, aiming to ensure zero data loss for mission ...

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...

The importance of databases to modern enterprise AI operations cannot be overstated. Data helps to train and ground AI, and multiple research reports show that without proper data, AI efforts tend to ...

Today’s enterprises continue to invest aggressively in “cloud-first” strategies and architectures. All industries and verticals are adopting cloud services across all layers of cloud deployment models ...

The AI boom has launched numerous conversations on what's possible as more people grasp AI’s ability to transform the workplace, the economy and society at large. However, as the buzz around this ...

Oracle’s change in strategy to release a developer-first version of its new database is linked to the company’s plans to defend its market dominance and look at innovative ways to acquire new ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

Document databases have long been the backbone of critical applications — now, they’re entering a new era of intelligence and capability. By embedding generative AI directly into the data layer, the ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...