Neo4j: The Power behind the Paradise Papers

Once again, the International Consortium of Investigative Journalists (ICIJ) has shaken the world with a far-reaching, in-depth investigation into the shadowy world of offshore finance: The Paradise Papers. Using Neo4j, the ICIJ has built upon their Pulitzer Prize-winning investigation of… Learn More →

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Retail & Neo4j: Personalized Promotion & Product Recommendations

Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Learn More →

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Cypher – the SQL for Graphs – Is Now Available for Apache Spark

In case you missed it at GraphConnect New York: The Neo4j team has announced the public alpha release of Cypher for Apache Spark™. We’ve been building Cypher for Apache Spark for over a year now and have donated it to… Learn More →

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Join Us for the GraphHack at GraphConnect New York [2017]

GraphConnect Eve is almost here, which means it’s time for our annual GraphHack Hackathon! This year’s event will be hosted at the eBay, Inc. headquarters in New York City on the evening of Monday, October 23rd. All Your GraphHack Questions… Learn More →

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Cybersecurity & Graph Technology: An Excellent Fit

Cybersecurity We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic… Learn More →

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Rapid Graph Technology Prototyping of Sub-Contractor Relationships

ISN is the leading provider of Health Safety and Environmental (HSE) management systems for contractor engagement. ISN collects and verifies HSE information from contractors to ensure that they are meeting the necessary requirements before they are allowed to come on… Learn More →

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How Graph Technology Helps the Automotive Industry to Innovate with patedo

Abstract: KCIG, a German consulting company well-known in the automotive industry, and Structr, jointly created patedo®, a groundbreaking patent search engine, enabling engineers to query the world’s patent databases in unprecedented ways to find relevant working-level information much quicker than… Learn More →

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7VORTEX: Systems Thinking Powered by Graph Technology

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out… Learn More →

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GraphConnect New York Agenda: Everything You Need to Know [2017 Edition]

You already have all the reasons you should attend GraphConnect New York, and now you know who the must-see presenters will be, but now it’s time for the best reason to attend: The bottom-to-top agenda of all the keynotes, presentations… Learn More →

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The Top 10 Reasons You Should Attend GraphConnect New York

This autumn, GraphConnect will again be in the town that never sleeps – New York City! Whether you’re new to the world of graph database or you’ve been a part of the movement for some time, there’s something new for… Learn More →

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A Note on Native Graph Databases

It’s fun to watch the graph database category evolve. From being a seemingly niche category a decade ago (despite the valiant efforts of the Semantic Web community) to a modest – but important – pillar of the data world as… Learn More →

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Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [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.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Learn More →

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Financial Services & Neo4j: 360-Degree View of Customer Experience

Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they… Learn More →

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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. As season 7 is… Learn More →

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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 make full use of compute resources. As part… Learn More →

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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 work alongside human fact checkers to scalably flag and quarantine fake… Learn More →

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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 in U.S. believe that the upsurge of… Learn More →

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Financial Services & Neo4j: Cybersecurity

Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These… Learn More →

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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 wanted to put just as much emphasis on connecting… Learn More →

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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, and we’re updating our legal… Learn More →

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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 they are headed, but criminals use indirection… Learn More →

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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… Learn More →

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The Emergence of the Enterprise DataFabric

Editor’s Note: This presentation was given by Mark Kvamme and Clark Richey at GraphConnect San Francisco in October 2016. Presentation Summary Enterprises are faced with a variety of challenges when it comes to managing data, largely due to the disparate… Learn More →

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Financial Services & Neo4j: Data Lineage & Metadata Management

Regulatory compliance requires financial services firms to have visibility into data lineage, information and process flows. The Sarbanes-Oxley Act (SOX), for example, requires public firms to understand who has access to what data, what data resides in which systems, and… Learn More →

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GraphConnect Europe Agenda: Everything You Need to Know [2017 Edition]

You already have all the reasons you should attend GraphConnect Europe and now you know who the top 10 presenters will be, but now it’s time for the easiest selling point of all: the bottom-to-top agenda of all the keynotes,… Learn More →

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