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.

Customers want details on the mechanics of enterprise AI - can vendors deliver? Walter Sun sheds light on the specifics of ...

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 ...

Artificial intelligence models are ever-hungry black boxes that need boatloads of bits and bytes from a wide stream of real-world data in order to produce insights about patients and their care.

How big of a problem is it worldwide? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature.

Apple has joined a consortium creating next-gen technology to link together chips in AI data centers ... and running of AI models. Based on open standards, including AMD’s Infinity Fabric ...

In the GraphRAG pipeline, documents are linked together (graph of ... the industry’s first knowledge graph coprocessor for the data cloud. Nikolaos has over 20 years of experience implementing ...

Macquarie's asset management arm has agreed to invest up to $900 million in a data center campus that Applied Digital is developing in North Dakota. Dallas, Texas-based Applied Digital also has ...

Our ambition is to empower every employee with a Copilot and to transform every business process with agents. From Dow to Disney, companies are going big with Microsoft 365 Copilot and agents, ...

Abstract: Graph Neural Networks (GNNs) show great power in Knowledge Graph Completion (KGC) as they can handle nonEuclidean graph structures and do not depend on the specific shape or topology of the ...