Why Modern Fraud Detection Needs Graph Database Technology

Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection play an important role in minimizing these losses. However increasingly sophisticated fraudsters have developed a variety of ways to elude discovery – both… Learn More →

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The Sustainable Competitive Advantage of Connected Data

As data sizes and customer expectations accelerate at lightning speed, how can your business achieve sustainable competitive advantage? By unlocking the value of data relationships – in both new and reimagined applications – your enterprise can easily improve performance, simplify… Learn More →

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The Future of Recommendation Engines: Graph-Aided Search

Editor’s Note: GraphAware is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Michal and other sponsors in person. For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people… Learn More →

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A New Way of Looking at “Moving Relationships” in Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Introduction A graph database is not only a simple way to store connected data, it is… Learn More →

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