Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

Organizations worldwide are grappling with the requirements of the European Union’s General Data Protection Regulation (GDPR) and it’s no secret that finding ways to remain compliant has become one of ...

Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner -- ...

Knowledge graphs and ontologies form the backbone of the Semantic Web by enabling the structured representation and interconnection of data across diverse domains. These frameworks allow for the ...

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Business is booming these days for graph databases–maybe it took COVID to show us how connected everything is–and that’s good news for Franz, which develops a semantic graph database called ...