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

Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to ...

Cross-vendor NGS interpretation, genomics-aware decision support, trial matching, and prior authorization, with every output traceable to a public source Clinicians already have the genomic data. What ...

This situation is occurring in many companies. The data department has organized internal personnel information, organizational structures, business partner relationships, and product lineups as a ...

As I follow IT trends, I have been seeing the name of a tool called "codebase-memory-mcp" more and more often. It is an MCP server used in combination with AI coding agents like Claude Code and Cursor ...

Sudhir Hasbe, Neo4j's President and Chief Product Officer, on the strategic shift behind the GraphAware deal, what "open ...

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

When organizations conflate data readiness with knowledge readiness, the AI can access the records but not the judgment ...

Michael Down, Global Head of Financial Services at Neo4j, tells RBI Editor Douglas Blakey that the fraud challenge for banks ...

They say a lot can happen in a week in politics. So imagine how much can change in a year within the world of AI! Even 12 months ago, Gen AI still wasn’t mainstream worldwide. But by the end of 2025, ...