Database management work will soon be mostly automated by AI agents, just like coding, according to the CEO of Cockroach Labs ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...

Taceo CEO says demand is growing for privacy-preserving biometrics that verify identity without exposing sensitive data or creating centralized databases.

Driving business creation through real-time processing of large-scale time-series data - KAWASAKI, Japan, June 24, 2026 ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

The dancers had used music generated by AI. Whatever model was involved had likely been trained on “You Get What You Give” and had copied some of the song’s content, as AI systems are prone to do.

Abstract: Distributed database systems offer scalability and fault tolerance by replicating databases across geographically dispersed nodes. This redundancy aims to ensure data availability even ...

In the evolving landscape of artificial intelligence, the shift toward distributed AI is reshaping how businesses approach data management and model deployment. At the AI Dev 26 conference, Emma ...

Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a ...