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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...
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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...
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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...
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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...
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The 5-Minute Interview: Anirban Chatterjee & Keshav Ranganathan, IBM
“As the relationship really started to take shape, we realized what the two technologies could solve much more effectively when they worked together,” said Keshav Ranganathan, Senior Offering Manager...
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Financial Services & Neo4j: Network & IT Infrastructure Monitoring
Discovering, capturing and making sense of complex interdependencies is central to managing IT infrastructure more effectively, and it is also a critical part of running the businesses IT serves....
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Graph Technology for Enterprise Master Data Management (MDM)
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive...
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Financial Services & Neo4j: Identity & Access Management
Within the IT organization of any financial services enterprise, identity and entitlements management must be managed to minimize risk. Over time, the centralized entitlements structure – whether...
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Summer 2017 Release of the APOC Procedures Library
It’s summertime, but that doesn’t mean we’re less active building cool stuff for you to use with Neo4j. If you haven’t heard of APOC yet – dubbed “Awesome Procedures On Cypher” – it’s a Swiss Army...
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Hello, World: Neo4j, Inc.
Effective today, Neo Technology is officially changing its name to Neo4j, Inc. Why We’re Changing Our Company Name By becoming Neo4j, Inc. we now accept that it is how the world has always known us,...
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Neo4j Sandbox Now Supports Neo4j 3.2, Sharing, Google Spreadsheets & More!
When we announced the new Neo4j Sandbox back in March, we enabled developers to learn Neo4j while exploring data and interactive guides for four use cases: Recommendations Engines, TrumpWorld, US...
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GraphConnect: New York City, Here We Come!
As you already know, Neo4j embodies relationships and connections between data. Not just that, it taps into the value of these relationships and connections. This is why we started GraphConnect: We...
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Machine Learning, Graphs and the Fake News Epidemic (Part 1)
Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults...
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Proudly Releasing: Efficient Graph Algorithms in Neo4j
I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You...
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Machine Learning, Graphs and the Fake News Epidemic (Part 2)
In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to...
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Cypher: Write Fast and Furious
Editor’s Note: This presentation was given by Christophe Willemsen at GraphConnect San Francisco in October 2016. Presentation Summary In this presentation, Christophe Willemsen covers a variety of...
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Meet the ICIJ’s First-Ever Neo4j Connected Data Fellow
The International Consortium of Investigative Journalists (ICIJ), in partnership with the graph platform company Neo4j, are proud to welcome Manuel Villa as the first-ever Neo4j Connected Data Fellow....
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The Top 13 Resources for Understanding Graph Theory & Algorithms
Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to...
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A Game of Data and GraphQL [Game of Thrones Community Post]
This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data....
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RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?
Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property...
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