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

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

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

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

Excel's People Graph add-in turns simple tables into clean, icon-based visuals that automatically update when your data ...

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Torrance, California, USA, July 1st, 2026, CyberNewswireCyber threat intelligence becomes more valuable when indicators are ...

Why the Fortune 500 Companies Winning the AI Race Specialized Before They Scaled Eight in ten CEOs now say their role is at ...

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