Blue Yonder will demonstrate these supply chain knowledge graph-based Cognitive Solution capabilities during a breakout session and in the Innovation Experience at ICON 2025. About Blue Yonder ...

To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

Organizations can take a systematic approach to generating a knowledge graph by first ingesting a standard ontology (like insurance risk) and using a large language model (LLM) like GPT-3 to ...

Diffbot, a small Silicon Valley company best known for maintaining one of the world’s largest indexes of web knowledge, announced today the release of a new AI model that promises to address one ...

A Knowledge Graph is a connected graph of data and associated metadata applied to model, integrate and access an organization’s information assets. The knowledge graph represents real-world entities, ...

A knowledge graph is like that car’s navigation system, providing context, meaning, and direction on top of those connections.” The bottom line is that “graph databases are a type of NoSQL database ...

But better yet would be to combine the technologies, using a language model like GPT-3 to craft a human-like front end for a know-it-all bot. Still, even an AI that has its facts straight is not ...

You need to have expanded knowledge, which is exactly what Celonis provides through this Process Intelligence Graph. Harmonized data Yu explained that the Process Intelligence Graph harmonizes and ...

Inspired by neurobiology and the structural design of the human brain, the cognitive map model is collaboratively constructed by the knowledge graph model (left brain) and the multimodal large ...

Cognaize developed its new capabilities in response to its customers’ needs and requests. Knowledge graphs are conceptual models of the world that map entities, their properties, and their ...