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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Neo4j as a Key Player in Human Capital Management (HCM) [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.] In the Bersin Predictions for 2016 report, Josh Bersin states that “it feels as though everything… Learn More →

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From the Neo4j Community: March 2016

Whew! With GraphConnect Europe now behind us, it’s time to look at all of the wonderful content published by the Neo4j community in the month of March before the Neo4j 3.0 announcement and Panama Papers coverage eclipsed everything else. If… Learn More →

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Graphs Are Everywhere and Their Possibilities Are Endless

Graphs are everywhere, and with the ability of a graph database to solve multiple business problems, pre-empt potential situations and – most importantly – save companies huge amounts of money in the meantime, why shouldn’t you use Neo4j? Graphs in… Learn More →

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RDBMS & Graphs: Why Relational Databases Aren’t Always Enough

Relational databases are powerful tools. Since the 80s, they have been the power-horse of most software applications and continue to do so today. Relational databases (RDBMS) were initially designed to codify paper forms and tabular structures, and they do that… Learn More →

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Why Modern Fraud Detection Needs Graph Database Technology

Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection play an important role in minimizing these losses. However increasingly sophisticated fraudsters have developed a variety of ways to elude discovery – both… Learn More →

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The Sustainable Competitive Advantage of Connected Data

As data sizes and customer expectations accelerate at lightning speed, how can your business achieve sustainable competitive advantage? By unlocking the value of data relationships – in both new and reimagined applications – your enterprise can easily improve performance, simplify… Learn More →

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The Future of Recommendation Engines: Graph-Aided Search

Editor’s Note: GraphAware is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Michal and other sponsors in person. For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people… Learn More →

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A New Way of Looking at “Moving Relationships” in Neo4j [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 A graph database is not only a simple way to store connected data, it is… Learn More →

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