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Editor’s Note: This presentation was given by Dippy Aggarwal at GraphConnect San Francisco in October 2016. Presentation Summary Container orchestration for multiple containers across a fleet of machines has the potential to solve issues across the range of scaling, replication,… Learn More →
Docker swarm architecture
 

Financial Services & Neo4j: Anti-Money Laundering

Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today's financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection to make it difficult to follow money from one point to another. In order to tackle the problem head on, financial services enterprises need a... Read more →

Learn about the Neo4j graph database for anti-money laundering in the financial services sector

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This Week in Neo4j – 24 June 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we look at how to create a Neo4j powered Alexa bot, analysing the Neo4j community on twitter, and a write up from the life sciences and healthcare workshop. Featured Community Member: Daniel Himmelstein This week’s featured community member is... Read more →

Daniel Himmelstein - This Week's Featured Community Member

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Neo4j Container Orchestration with Kubernetes, Docker Swarm & Mesos

Editor's Note: This presentation was given by Dippy Aggarwal at GraphConnect San Francisco in October 2016. Presentation Summary Container orchestration for multiple containers across a fleet of machines has the potential to solve issues across the range of scaling, replication, fault tolerance and container communication. In this GraphConnect presentation, Dippy Aggarwal walks you... Read more →

Docker swarm architecture

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Integrating All of Biology into a Public Neo4j Database

Editor's Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network (a.k.a., "HetNet"), which turned out to be another term for a labelled property graph. After an attempt to create his own Python... Read more →

Watch Daniel Himmelstein's presentation on the heterogeneous biomedical network Hetionet

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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 methods fall short when it comes to detecting fraud rings. Furthermore, many discrete methods are prone... Read more →

Learn about using the Neo4j graph database for fraud detection in this financial services series

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This Week in Neo4j – 17 June 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Jasper Blues This week’s featured community member is Jasper Blues, a long time Neo4j user and contributor, living in Manila in the Philippines. Jasper Blues - This Week's Featured Community... Read more →

Jasper Blues - This Week's Featured Community Member

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