Financial Services & Neo4j: Fraud Detection

Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Learn More →

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Using Neo4j for Call Detail Records (CDR) Analytics [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 Analysis of call detail records (CDR) provides greater insights into the telecommunications activity like inbound… Learn More →

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Neo4j + AWS Lambda & API Gateway to Create a Recommendation Engine

The Challenge of Findability and Why Graphs? Here at the SAVO Group, we are in the business of sales enablement via Software as a Service (SaaS). One of the tools that we provide our customers is the ability to prescribe… Learn More →

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Introducing GraphAware Databridge: Graph Data Import Made Simple

GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction Until now, Neo4j users wanting to import data into Neo4j have been faced with two choices: Create Cypher statements… Learn More →

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