IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

MCP Is great, but it isn’t the whole AI answer ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

The company is currently backed by several tier-one venture capital firms, including Sequoia Capital, Lightspeed, Insight ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking a fundamental shift in how organizations generate predictions from their ...

AWS Quick's desktop agent builds a personal knowledge graph from local files and SaaS tools, creating a governance gap ...

Veeam continues to increase its market share amongst the top 5, as data resilience and data security become critical for ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.

A World Bank study introduces an AI-based method using graph neural networks to break down national statistics like GDP into ...

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while simultaneously considering spatial and temporal feature relationships. The ...

Thomas Kurian pointed to 'three key elements' Google has now launched toward helping enterprises with this shift ...

When a CFO asks "what is the highest-leverage intervention to improve free cash flow this quarter?", a causal graph does not ...