Couchbase AI Data Plane brings governed memory, real-time context, and cloud-to-edge data access to enterprises moving AI agents from pilots to production at scale.

AWS has introduced a new metadata feature for its S3 object storage: S3 Annotations. It allows extensive, structured contextual information to be attached directly to individual objects without ...

Data security posture management (DSPM) tools help security teams examine their entire data environment to find shadow data, reducing the risk of data loss. Tracking down sensitive data across both ...

Abstract: The exponential growth of heterogeneous data sources across modern cloud ecosystems has heightened the need for scalable, governed, and cost-efficient data integration architectures. This ...

See the key announcements from the event below and watch re:Invent 2025 keynotes. Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Machine Learning Associate certification validates your ability to configure, build, and ...

Data lakes are essential parts of AI infrastructure, allowing companies to manage and store data on a scale necessary to fuel data-intensive AI models This week's list shines a light on the companies ...

The pharmaceutical industry faces pressure to improve the drug development process while reducing costs in an evolving regulatory landscape. This paper presents the Preclinical Information Center ...

WrenAI is an open-source Generative Business Intelligence (GenBI) agent developed by Canner, designed to enable seamless, natural-language interaction with structured data. It targets both technical ...

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...