The Top 10 Reasons to Attend GraphConnect 2018 in New York City

Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →

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Financial Risk Reporting: Building a Risk Metadata Foundation

Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →

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Taking the First Step: How to Lead a Local Neo4j GraphDB Meetup

I discovered Neo4j and became instantly captivated. Finding something that made data make sense, was fun, approachable, and easier to learn, I read articles and white papers, watched videos online… but it wasn’t enough. I needed to connect, with people,… Read more →

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Graph Databases for Beginners: Data Modeling Pitfalls to Avoid

With the advent of graph database technology, data modeling has become accessible to masses. Mapping business needs into a well-defined structure for data storage and organization has made a sortie du temple (of sorts) from the realm of the well-educated… Read more →

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Financial Risk Reporting:
The Connected Nature of Financial Risk

As governmental regulations tighten, today’s banks must have a thorough and systematic understanding of risk calculations and their associated data lineage – including where underlying data originates and how it flows through enterprise systems. Forward-looking banks are uniting data silos… Read more →

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Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag

“Especially when it comes to the financial sector or gaming, people need answers in real time,” said Joe Stefaniak, CEO of IntelligentTag. From slots and games to guest services to financial systems, casinos are chock full of data sources. Whether… Read more →

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The Next Generation of Service Assurance: Differentiating Your Solution

Successful companies are embracing next-generation service assurance that leverages a comprehensive, real-time view of services and infrastructure with an eye on end-user experiences, new service creation and predictive modeling. But to compete in today’s market, communication service providers need a… Read more →

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Neo4j Launches Commercial Kubernetes Application on Google Cloud Platform Marketplace

On behalf of the Neo4j team, I am happy to announce that today we are introducing the availability of the Neo4j Graph Platform within a commercial Kubernetes application to all users of the Google Cloud Platform Marketplace. This new offering… Read more →

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Graph Databases for Beginners: Why Connected Data Matters

“It’s not what you know, it’s who you know.” Sound familiar? Depressingly, we all know it’s true: The boss’s son has a better shot at that corner office than you do. That’s because in business – and in life –… Read more →

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Graph Databases for Beginners: Why Graph Technology Is the Future

The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →

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Knowledge Graphs: The Path to Enterprise AI

Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →

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Connecting the Tech Stack: 5-Minute Interview with Tim Ward, CEO at CluedIn

“Connected data is always more interesting than disconnected data, especially when you’re wanting to do something like we do,” said Tim Ward, CEO at CluedIn. For Tim, it’s all about flexibility, scalability and resilience. As the CEO (and an engineer)… Read more →

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The ROI on Connected Data:
Extract More Value from Existing Data Using Graphs [+ Telia Case Study]

From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well. What those new to graph technology may not understand is that creating a graph does not require starting from… Read more →

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The ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]

Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we’ll examine how investments… Read more →

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The ROI on Connected Data: How Connections Unlock Business Value [feat. eBay]

The value of data comes from an organization’s ability to understand it in relation to other data. By itself, data offers finite value. When connected, data’s value is infinite. Case in point: There’s a difference between knowing that a customer… Read more →

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Are You the GraphConnect 2018 Presenter We’ve Been Looking for? [CFP Is Now Open!]

Bad news droids: You’re not the presenters we’re looking for. However, we’ll need some help finding the perfect presenters for GraphConnect 2018. That’s why the Call for Papers (CFP) is now open! Wait, What’s GraphConnect? Connected data isn’t just powering… Read more →

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Introducing Neo4j Bloom: Graph Data Visualization for Everyone

Today at GraphTour San Francisco, CEO of Neo4j, Inc. Emil Eifrem announced the arrival of an entirely new product being added to the Neo4j Graph Platform: Neo4j Bloom. Neo4j Bloom is a breakthrough graph communication and data visualization product that… Read more →

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Graph Technology Is in the POLE Position to Help Law Enforcement [Video]

A great graph database use case that is starting to emerge is the use of graph technology as a way to better support the police and other law enforcement officials, which also has applications for other security and investigative use… Read more →

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Graph Algorithms in Neo4j: Streamline Data Discoveries with Graph Analytics

To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →

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Graph Algorithms in Neo4j: How Connections Drive Discoveries

Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →

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GDPR Compliance: 4 Simple Steps to Building a GDPR Solution

According to PwC, 92 percent of multinational companies cite compliance with the looming General Data Protection Regulation (GDPR) data privacy regulations as a top data-protection priority. More than three-quarters of those organizations have allocated over a million dollars for related… Read more →

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GDPR Compliance: Why Graph Technology Is the Fastest (and Most Future-Proof) Solution

According to Eurostat, 81% of Europeans feel they don’t wholly control their online data and 69% worry that firms might use their data for purposes other than those advertised. The European Union’s General Data Protection Regulation (GDPR) states that individuals… Read more →

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Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]

Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →

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Retail & Neo4j: Pricing & Revenue Management

It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →

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Retail & Neo4j: Supply Chain Visibility & Management

Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →

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