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

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

Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...

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

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

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) ...

Learn how to build a second brain using Claude and Obsidian to create a persistent, local AI memory that remembers your ...

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, ...

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

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

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