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

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges ...

The recent US-Iran war has given the world one of the clearest glimpses yet of this transformation. The US used AI services, ...

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made the case about what it actually means for buyers right now.

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

VMPLNew Delhi [India], June 25: Being a top leader in an enterprise in India involves navigating the complexities of workforce management, compliance with multi-state laws, and cultural change. It ...

Abstract: Nowadays, data is being generated, collected, and analyzed at an unprecedented scale, data integration is the problem of combining data from heterogeneous, autonomous data sources, and ...

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 ...

Cybersecurity starts at the foundation. And in many cases, that’s the underlying architecture or code. If it’s riddled with vulnerabilities, we’ll just be fighting a losing battle. The Dutch company ...

Here's a stat that should keep security leaders up at night: 83% of enterprises already use AI in daily operations, but only 13% have strong visibility into how it touches their data. That gap is ...