Both graph databases and knowledge graphs “have similarities but serve different purposes,” said Shalvi Singh, senior product manager at Amazon AI. “Graph databases serve as the underlying ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your data.

Furthermore, a combined entity linking approach is implemented to align this knowledge graph with diagnostic data extracted from EMRs, enhancing clinicians' insights through essential knowledge-based ...

Blue Yonder also announced a collaboration with Snowflake, the AI Data Cloud company, and RelationalAI to enhance its Cognitive Solutions with a supply chain knowledge graph.

Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to effectively ...

Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs have ...

By leveraging AI-powered knowledge graphs, organizations can not only meet today’s customer expectations but also anticipate and adapt to future demands. Unlocking the Power of Knowledge Graphs ...