Knowledge graphs and ontologies have emerged as pivotal tools in process engineering, enabling the integration, simulation, and optimisation of complex industrial processes. By providing a structured ...

Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...

The Process Intelligence Graph, according to Celonis, provides enterprises with control and governance of their core enterprise data. This means less uncertainty when feeding AI models with data.

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

When we ask Siri, Alexa or Google Home a question, we often get alarmingly relevant answers. Why? And more importantly, why don’t we get the same quality of answers and smooth experience in our ...

This may come as a shock if you've first encountered knowledge graphs in Gartner's hype cycles and trends, or in the extensive coverage they are getting lately. But here it is: Knowledge graph ...

These past few months have not been kind to any of us. The ripples caused by the COVID-19 crisis are felt far and wide, and the world's economies have taken a staggering blow. As with most things in ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...