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

June 12 occupies a sacred place in Nigeria’s democratic consciousness. It is not merely a date etched into the nation’s ...

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

Expanded division helps companies improve visibility across AI-powered search platforms including ChatGPT, Gemini, ...

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

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

Wimbledon's digital transformation has been supercharged by IBM's AI tool, 'Bob'. This innovative technology has compressed a ...

A major expansion of the Virtual Record Treasury of Ireland opens up nearly 200,000 new records while a new project will ...

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

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 ...

China is now the world's second-largest hub for innovative drug development, with clinical trial activity continuing to expand rapidly. Yet challenges such as fragmented data, lengthy development ...

Backstage solved the portal problem, not the platform problem. A portal organizes catalogs, documentation, and templates. A ...