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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GraphGrid: A Secure Global Connected Data Platform

In early 2016, we started pioneering a unique frontier in cloud where many companies including Amazon Web Services (AWS) have not ventured: The deployment automation of secure, globally connected virtual private clouds (VPCs). We see the ability to communicate securely… 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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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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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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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 graphs both provide ways to explore and graphically depict connected data. But the… Learn More →

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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. The fellowship, announced last May, was inspired by the way graph databases… 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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Streamlining Processes with Neo4j at Glidewell Laboratories

Editor’s Note: This presentation was given by Galit Gontar and Robert Edwards at GraphConnect San Francisco in October 2016: Presentation Summary As a vertically integrated company, Glidewell Laboratories needs their processes and workflows to be flexible and open to innovation.… Learn More →

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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 can use these graph analytics… 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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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 represented in Active Directory or an LDAP directory – grows in such a… 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 5-Minute Interview: Benjamin Nussbaum, Co-Founder of GraphGrid

“When we first started exploring Neo4j’s native graph database, we saw benefits in how the data was stored because it paralleled real-world connected data,” said Benjamin Nussbaum, Co-Founder at GraphGrid. He and his team realized that the future of data… Learn More →

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Neo4j Is Now Available on the AWS Marketplace

Many Neo4j users host their databases in on-premise data centers, but there’s an increasing trend of utilizing cloud-based hosting providers. EC2 on Amazon Web Services has always been a popular choice given its success in the market, so we wanted… Learn More →

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Apply Today: The Neo4j Connected Data Fellowship at Pulitzer Prize-winning ICIJ

Neo4j’s CEO, Emil Eifrem, recently blogged about a data journalism fellowship to compliment our Data Journalism Accelerator Program. Yesterday, at the GraphConnect Europe conference, Emil announced additional details on the Fellowship and invited the data journalism community to apply. Neo4j… Learn More →

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Detecting Fake News with Neo4j & KeyLines

Fake news is one of the more troubling trends of 2017. The term is liberally applied to discredit everything, from stories with perceived bias through to ‘alternative facts’ and downright lies. It has a warping effect on public opinion and… Learn More →

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The Engineering Evolution of Neo4j into a Native Graph Database

Hi everyone. My name is Dr. Jim Webber. I’m Neo4j’s chief scientist, and I’d like to take a few minutes to talk to you about Neo4j’s evolution from an engineering point of view. Our Origin Story: Overcoming Complicated SQL Queries… Learn More →

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Forrester Research: How Monsanto Harnesses Connected Data Using Neo4j

Tomorrow’s enterprises won’t just leverage their data, but the relationships between data points in order to get and stay ahead of the competition. However, these enterprises need a database purpose-built for handling relationships – and it must work alongside existing… Learn More →

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The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes

“Moving from relational to graph, it takes time to learn to step back from your data and ask, ‘What more can I do?’” said Chuck Kane, Director of Global Solutions at Pitney Bowes. The company partnered with Neo4j to provide… Learn More →

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The 5-Minute Interview: Bradley Nussbaum, CEO of AtomRain

“Data that isn’t connected just isn’t as useful,” says Bradley Nussbaum, CEO at AtomRain in Los Angeles. The world of big data is no longer just taking notice of graph database technology — they’re taking action to implement it because… Learn More →

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3 Advantages of Using Neo4j Alongside Oracle RDBMS

The rising popularity of graph databases is a trend that developers and data architects can no longer ignore. At the same time, well-established relational database management systems (RDBMS) like Oracle aren’t going anywhere soon. Oracle RDBMS is the backbone of… Learn More →

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