NLP at Scale for Maintenance and Supply Chain Management

Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… 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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Hilary Mason [ML at Cloudera] & Stephen O’Grady [Principal at RedMonk] Will Keynote at GraphConnect 2018

We’re pleased to announce the addition of two phenomenal keynote speakers to the already-awesome lineup of presenters at GraphConnect 2018 in New York City. (Psst: Register now if you haven’t already, as space is limited!). Morning Keynote Speaker: Hilary Mason,… Read more →

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11 Must-See Speakers at GraphConnect 2018 in New York City

There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →

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eBay ShopBot: Graph-Powered Conversational Commerce

Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary eBay ShopBot is a chatbot powered by knowledge graphs that supports conversational commerce. In creating the system, the eBay… Read more →

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Which GraphConnect Training Should You Take? [Quiz]

It’s that time of year again. In less than five weeks, Emil will be getting on stage at GraphConnect 2018 in the heart to Times Square, NYC and announcing the new release of….wow, I think we’re getting a little ahead… 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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Democratizing Data Discovery at Airbnb

Editor’s Note: This presentation was given by John Bodley and Chris Williams at GraphConnect Europe in May 2017. Presentation Summary Airbnb, the online marketplace and hospitality service for people to lease or rent short-term lodging, generates many data points, which… Read more →

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Telia Zone: Scaling Neo4j to Millions of Homes with Kubernetes

Editor’s Note: This presentation was given by Rickard Damm and Lars Ericsson at GraphConnect Europe in May 2017. Presentation Summary Telia Zone is the Telia company’s router, which is used in approximately 1.5 homes in Sweden. Telia uses Neo4j with… Read more →

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Don’t Choose One Database… Choose Them All!

Editor’s Note: This presentation was given by Dave da Silva at GraphConnect Europe in May 2017. Presentation Summary Capgemini, a global leader in consulting, technology and outsourcing services, believes that using multiple databases improves your ability to unlock the business… 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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Graphs at Scale: Scale Out Neo4j Using Apache Mesos and DC/OS

Editor’s Note: This presentation was given by Johannes Unterstein at GraphConnect Europe in May 2017. Presentation Summary In this talk, Johannes Unterstein walks you through the mechanics and advantages of using Apache Mesos and DC/OS (data center operating system) for… Read more →

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Using Neo4j to Investigate Connections in the U.S. Healthcare System

Editor’s Note: This presentation was given by Yaqi Shi at GraphConnect San Francisco in 2016. Presentation Summary In this presentation, Yaqi Shi describes the process of developing Health-Graph, a model of how some of the key elements in the healthcare… Read more →

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Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin

Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… Read more →

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Graph Algorithms: Make Election Data Great Again

Editor’s Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and… Read 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… Read more →

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Cypher: Write Fast and Furious

Editor’s Note: This presentation was given by Christophe Willemsen at GraphConnect San Francisco in October 2016. Presentation Summary In this presentation, Christophe Willemsen covers a variety of do-and-don’t tips to help your Cypher queries run faster than ever in Neo4j.… Read more →

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Accelerating Scientific Research through Machine Learning and Graphs

Editor’s Note: This presentation was given by Jorge Soto and Antonio Molins at GraphConnect San Francisco in October 2016. Here’s a quick review of what they covered: Introduction to the role of microRNA Monitoring microRNAs Applying the method to stomach… Read more →

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Data Journalism in the Connected Age [GraphConnect Europe Preview]

Long before the publication of the Panama Papers investigation in April last year – which was mostly recently awarded the Pulitzer Prize, among other accolades – data journalism had had to deal with vast amounts of highly connected information. Traditionally… Read more →

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JCypher: A Java Domain-Specific Language (DSL) for Cypher

Editor’s Note: This presentation was given by Wolfgang Schützelhofer at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: An Introduction to JCypher Domain Mapping Executing domain queries using JCypher The future of JCypher – What… Read more →

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This Week in Neo4j – 8 April 2017

Welcome to this week in Neo4j, where we round up what’s been happening in the world of graph database in the last seven days. This week we look at how to create a Twitter clone using Neo4j, the Neo4j data… Read more →

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This Week in Neo4j – 4 March 2017

Welcome to the 2nd edition of This Week in Neo4j! If you’ve got any ideas for things we should cover in future editions, I’m @markhneedham on Twitter or send an email to devrel@neo4j.com. Contributing to Neo4j: Florent Biville Florent Biville… Read more →

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WayBlazer Cognitive Computing Application Powered by IBM Watson & Neo4j

Editor’s Note: This presentation was given by Ivan Portilla at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The three eras of computing What is cognitive computing? What’s new with Watson? Streamlining travel with Wayblazer

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FOSDEM 2017: Join Us in the Graph Developer Room!

Just like last year, we’re happy that the graph processing and graph database developer room at FOSDEM was approved again. Check out all the details here, including information about submissions: http://graphdevroom.org. If you’re interested in presenting, please submit your talks… Read more →

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Enterprise Data Management with Graphs

Editor’s Note: This presentation was given by Axel Morgner at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Data management challenges faced by enterprises The first step to enterprise data management: data integration The best… Read more →

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