How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. In an era where artificial intelligence is reshaping industries, Oracle has once again ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

MongoDB said additional partners and offerings are expected to be added to the startup program over time.

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

How do MCP servers connect AI agents to local databases? Learn how the Model Context Protocol enables secure, standardized AI ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...