Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner -- ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we ...

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 ...

How to use knowledge graphs to improve customer experience — digging into the healthcare example. Knowledge graphs are well known to the Pharma industry, and their power has been utilized for many ...

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 ...

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 ...

Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...

There are many ways to define a knowledge graph. At its most basic, a knowledge graph is a large network that stores data on entities and on the relationships between these entities. These entities — ...