Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

It structures data in a meaningful way, enabling greater efficiencies and accuracies in retrieving information. LinkedIn, for example, uses a knowledge graph to structure and interconnect data ...

Diffbot’s AI model leverages this resource by querying the graph in real time to retrieve information, rather than relying on static knowledge encoded in its training data. For example ...

An app that helps people and teams in the working world simplify their to-do lists — ideally by organizing and doing some of ...

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

Customers want details on the mechanics of enterprise AI - can vendors deliver? Walter Sun sheds light on the specifics of SAP's responsible AI framework - and how expert agents, knowledge graphs, and ...

Blue Yonder’s latest product updates are a culmination of work that’s been happening behind the scenes. The foundations are ...

Data4Cure today announced an ongoing multi-year partnership with Pfizer, aimed at leveraging advanced analytics and knowledge graph AI to drive innovation in Pfizer’s drug discovery and development ...

Diffbot’s large language model is not ... recent news event, for example, it will search the Knowledge Graph for the most recent updates, extract the most relevant data, and cite the sources ...