For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

The gap between human and AI performance on database tasks will shrink over time, but more complex problems will still ...

Google wants Gemini, its family of generative AI models, to power your app’s databases — in a sense. At its annual Cloud Next conference in Las Vegas, Google announced the public preview of Gemini in ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Vector databases, a relatively new type of database that can store and ...

Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

This article was written by Bloomberg Intelligence senior industry analyst Mandeep Singh and associate analyst Robert Biggar. It appeared first on the Bloomberg Terminal. AI’s shift to inference at ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.

When you eliminate the dependency on local storage, the database becomes an active, real-time engine, not just a place to ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...