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

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

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

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view centered on data.

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

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 ...

Artificial intelligence (AI) is transforming a variety of industries, including finance, manufacturing, advertising, and healthcare. IDC predicts global spending on AI will exceed $300 billion by 2026 ...

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...

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