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

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

A security analyst at a large enterprise recently found sensitive HR documents being copied into a Microsoft Teams channel ...

Energy giant Schneider Electric is to acquire Cognite, an industrial data and AI software company, in an all-cash transaction ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Google formalizes the "LLM Wiki" pattern with the Open Knowledge Format as an open standard for AI knowledge. Google Cloud has introduced Open Knowledge Format (OKF), an open specification designed to ...

High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to TDWI's 2026 Blueprint report.

Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

AI search is changing international SEO from page selection to answer integrity. Learn how Global Knowledge Integrity ...

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made the case about what it actually means for buyers right now.

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