Knowledge Graph Powers Cognitive Solutions Supported by Snowflake and RelationalAI Blue Yonder also announced a collaboration with Snowflake, the AI Data Cloud company, and RelationalAI to enhance ...

Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and graph database for AI use cases. An essential component for building more trustworthy AI lies in ...

AUSTIN, Texas--(BUSINESS WIRE)--Valkyrie, a leading applied sciences lab, announces a groundbreaking achievement in space technology: the launch of the first-ever knowledge graph database beyond ...

“We are building out a knowledge graph,” said CEO Tarjei Vassbotn in an interview. Tana is a major fast-flowing river in Norway, and Vassbotn said that the startup named itself after it.

A knowledge graph is a collection of relationships between entities defined using a standardized vocabulary. It structures data in a meaningful way, enabling greater efficiencies and accuracies in ...

They require a knowledge graph. 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 ...

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At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

While Google popularized the term “knowledge graph” in 2012, the concept of representing knowledge as interconnected information has roots dating back to the 1980s. Computer scientists and ...

a U.K.-based knowledge graph startup that has built an AI reasoning engine that can be deployed on edge devices, for an undisclosed amount. Spun out of the University of Oxford, the startup was ...

Samsung said on Thursday that it has agreed to acquire Oxford Semantic Technologies, a UK-based startup with knowledge graph technology. The South Korean tech giant said combining such technology ...