To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems.

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

They require a fully structured knowledge graph, where facts, entities, and relationships are organized into a formal ontology. Knowledge graphs not only store factual information but also capture ...

Easy Answers™ decision-making application provides an astonishing 99.8% accuracy with ontology enrichment SAN RAMON, CA / ...

The study details a comprehensive process for constructing a knowledge graph to optimize the spatial arrangement of underground powerhouses. It begins with designing an ontology skeleton to ...

MITRE released D3FEND 1.0, a cybersecurity ontology and knowledge base designed to establish a vocabulary ... tripling its semantic graph in size since its initial release. The collaboration of ...

By incorporating advanced ontology and knowledge graph enrichment, App Orchid's enterprise text-to-SQL translation accuracy soared to 99.8%. This surpasses the previous benchmark of 91.2% ...

An Ontology-Driven Approach for Enterprise Users ... curating data into a knowledge graph and generating visualizations and insights that help customers mitigate risk and unlock new growth ...