General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...

Schneider Electric is acquiring Cognite, a provider of Agentic AI solutions, at a hefty 18.2 revenues. Cognite is growing ...

Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...

Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...

The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...

Abstract: Knowledge graphs (KGs) are popularly used to develop several intelligent applications. Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships automatically, with no manual re-curation needed.