Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

Hadoop stores massive amounts of data across many computers safely.Spark processes big data much faster than traditional ...

Couchbase AI Data Plane brings governed memory, real-time context, and cloud-to-edge data access to enterprises moving AI ...

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Closing the mid-market gap is not a philanthropic exercise. It is a commercially compelling market thesis that the process ...

And once it appears, much of today’s enterprise AI landscape will start to look transitional. I’ve spent the last several ...

Rust enters the top 10 for the first time, Python keeps the lead, C moves back above C++, and SQL edges out R in July’s ...

At Everpure Accelerate the company announced its Data Stream for data in real-time AI workloads and its Data Intelligence to optimize and secure data for AI workloads.

Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the new context layer Ontology.

Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this, researchers at the National University ...