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

You have full access to this article via your institution. The approach we advocate here aims to solve the problem at its root by optimizing the structure of the ontology so that it will indeed be an ...

Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the ...

Increasingly, in data-intensive areas of the life sciences, experimental results are being described in algorithmically useful ways with the help of ontologies. Such ontologies are authored and ...