Neo4j's Michael Hunger explains why AI agents need trusted enterprise data, organisational memory, and decision context to ...

Dell Technologies expanded its AI Data Platform on October 6 with a Unified Semantic Layer, Enterprise Knowledge Graph, and Knowledge Agents for enterprise AI workloads. Dell said the components ...

Hello (or good evening), this is Take.The staff were looking at a graph displaying their results, and they seemed to be ...

"We want to do GraphRAG too. Let's start by creating an ontology." "A knowledge graph is basically just an ontology, right?"I have had more opportunities to hear these kinds of conversations in ...

Researchers have built an open-source system that converts ephemeral AI chatbot explanations into a permanent, ...

Knowledge is what separates a good operation from a great one. It is also the hardest thing to scale, because the knowledge ...

UAB researchers are developing an AI-assisted digital twin platform for building retrofit planning. Researchers from the ...

Knowledge graphs healthcare enable Flahy to integrate biological and clinical data for improved AI clinical decision support ...

Flahy uses knowledge graphs to connect biological and clinical data, supporting personalized decisions in AI-powered ...

Vector-only retrieval-augmented generation (RAG) breaks down on questions requiring multi-hop reasoning, aggregation, or traceable provenance, ...

Partnerships, product innovation and acquisitions expand market reach, while AI integration and managed services drive efficiency, insight and scalable adoption.Dublin, Oct. 09, 2026 (GLOBE NEWSWIRE) ...

Atlassian's context graph is arguably the best in the world for enterprise AI, says its CEO. Why does this matter? And how ...