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

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

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 ...

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 ...

Enterprise AI deployments face significant challenges at the database layer rather than the model layer. The data stack was not designed for AI agents, resulting in rising costs and inefficiencies. A ...

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.

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, ...

Explore Microsoft Dynamics 365. Discover key features, pricing details, pros and cons, and how it compares with top CRM competitors. If you can only read one tech story a day, this is it. We use ...

Abstract: The paper describes an approach that combines work from three fields with previously separate research commu-nities: social robotics, conversational AI, and graph databases. The aim is to ...