#GraphCast: You Know We Have an Online Meetup, Right? [Also, Salmon]

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted a two-part series of how Neo4j and machine learning help human… Read more →

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#GraphCast: Fake News Edition

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →

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Leveraging Data Science Tools for Fraud Investigation

Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →

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Agile Open Source Intelligence: 5-Minute Interview with Frederick Kagan

“One thing that a relational database isn’t, is relational ,” said Frederick Kagan, Director of the Critical Threats Project at the American Enterprise Institute. All intelligence organizations are interested in seeing data connections and traversing networks. The Critical Threats Project… Read more →

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Get Control of Today’s Financial Regulations Using the Neo4j Risk Management Platform [Infographic]

Financial regulations in the U.S. has become a complicated and fragmented system, but why? Various authorities creating compliance laws include a cast of six federal regulating agencies: The Federal Reserve, Office of the Comptroller of the Currency, the National Credit… Read more →

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Large-Scale Real-Time Recommendations with Neo4j

Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →

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Harnessing the Power of Neo4j for Overhauling Legacy Systems at Adobe

Editor’s Note: This presentation was given by David Fox at GraphConnect New York in September, 2018. Presentation Summary Adobe’s Behance, a platform that allows people to showcase and discover creative work in a social media-type setting, was relying on a… Read more →

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#GraphCast: Emil Eifrem on the Exponential View podcast with Azeem Azhar

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted the similarities between the choose-your-own-adventure movie, Black Mirror: Bandersnatch and running… Read more →

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Social Power, Operational Ease: 5-Minute Interview with David Fox, Software Engineer at Adobe

“We were able to go from 48 Cassandra instances to three Neo4j instances. Going into the project, we weren’t sure whether that was going to be possible,” said David Fox, Software Engineer at Adobe. Adobe runs Behance, a social network… Read more →

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Moving From the Static Grid to the Virtualized Graph Database

Editor’s Note: This presentation was given by Aaron Wallace and Andrew Chumney at GraphConnect New York City in 2017. Presentation Summary The adoption of the European Union’s GDPR regulation in May of 2018 has forever changed the way enterprises have… Read more →

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The Top 10 Neo4j Podcasts of 2018

Since March 2015, Neo4j VP Rik Van Bruggen has been hosting the Graphistania podcast, covering the wonderful world of graph database technology and interviewing some of the most interesting graph thinkers and developers from across the globe. If you’re new… Read more →

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Graph Databases for Beginners: Native vs. Non-Native Graph Technology

It’s a common figure of speech: “Jack of all trades, master of none.” The heart behind the phrase is that if you’re trying to be good at everything, you normally end up being sort of mediocre at a large number… Read more →

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Intelligent Recommendation Engine for Financial Analysts

Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →

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How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]

Retail opportunities are as big and dynamic as the industry has ever seen, and yet, knowing what to do or how to attack said opportunities is a bit more difficult to ascertain. U.S. retail sales per year are in the… Read more →

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Fraud Detection Using Graph Technology

Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →

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Creating a Data Distribution Knowledge Base Using Neo4j

Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users… Read more →

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New Features, Now: 5-Minute Interview with Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast

“One of the most surprising things I’ve seen with Neo4j is the speed at which we’re able to innovate and deliver features to our customers,” said Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast. In this week’s five-minute… Read more →

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How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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Xfinity xFi & User Personalization with Graphs

Editor’s Note: This presentation was given by Jessica Lowing at GraphConnect New York in September 2017. Presentation Summary We’ve come a long way towards making our homes smarter – but we still have a long way to go. Many of… Read more →

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Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics

Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →

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How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware

“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →

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Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE

“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →

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This Week in Neo4j – Weighted PageRank, Backups on Kubernetes, Modeling Financial Risks

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we work out the best tennis player in the world using weighted PageRank, we… Read more →

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Knowledge Graph Search with Elasticsearch and Neo4j

Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →

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Effective Internal Risk Models for FRTB Compliance: Risk Management with Neo4j [Infographic]

In this series on the FRTB, we delved into what is required for effective internal risk models using a graph database like Neo4j. In previous weeks, we looked at the requirements of FRTB compliance and the relationship between risk modeling… Read more →

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