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

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

Twenty days after Dr Anna Harrison rebuilt her website for AI engines, a cold email arrived using phrases that existed ...

Shreyansh Sharma built high-performance financial data pipelines, improving accuracy, speed, scalability, and reliability for ...

The new leap in AI agent capability calls for a new operating model—one that replaces rigid org charts with cohesive systems ...

Learn how to build a second brain using Claude and Obsidian to create a persistent, local AI memory that remembers your conversations and preferences, enhancing your chatbot experience. Follow a ...

Norwest leads the round with strategic participation from Snowflake Ventures, as Jedify addresses the AI context problem that major model providers can't solve NEW YORK, June 10, 2026 (GLOBE NEWSWIRE) ...

NEW YORK, June 10, 2026 (GLOBE NEWSWIRE) -- Jedify, the autonomous context graph for data-intensive agentic applications and workflows, today announced $24 million in Series A funding led by Norwest, ...

As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...

JFrog found malicious npm packages that deploy a Windows RAT to steal Chrome credentials, run commands, and transfer files.

Parth is a technology analyst and writer specializing in the comprehensive review and feature exploration of the Android ...

Organic traffic is down, but one marketer says revenue is up. This AEO dissection unpacks why fewer site visits might mean ...