Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...
What is Graph Technology and What Can it do for Financial Institutions? Graph technology has been a cornerstone of mathematics for centuries, and its application in financial institutions and fintechs ...
Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As enterprises continue to double down on ...
Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Neo4j’s Jim Webber, who says graphs are a way of managing complexity that is all ...
When Emil Eifrem, founder and CEO of Neo4j, was working for an enterprise content management startup in Sweden in the mid-2000s, he was struggling with the challenge of mapping relationships between ...
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Graph neural networks show promise for detecting money laundering and collusion in transaction webs
A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...
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.
The advent of graph database technology accommodates for the plethora of nuance that an enterprise’s proprietary data represents. However, graph technology continues to evolve, leaving legacy graph ...
GUEST OPINION: As more businesses incorporate AI agents into their operations, visibility and auditability around their usage is critical to building acceptance and trust. It’s increasingly apparent ...
Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...
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