The initial surge of excitement and apprehension surrounding ChatGPT is waning. The problem is, where does that leave the enterprise? Is this a passing trend that can safely be ignored or a powerful ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval. Knowledge graphs are reshaping how we organize and make ...

Schneider Electric is acquiring Cognite, a provider of Agentic AI solutions, at a hefty 18.2 revenues. Cognite is growing ...

If you are interested in learning how to build knowledge graphs using artificial intelligence and specifically large language models (LLM). Johannes Jolkkonen has created a fantastic tutorial that ...

Last year, Gartner declared knowledge graphs were at the summit of its Artificial Intelligence Hype Cycle. They stood within the bracket it calls the "Peak of Inflated Expectations," generally ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

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.