Running Decision Trees in Neo4j

Discover how Neo4j works with decision trees to deliver fast results for solving real-world problems, with an unorthodox nightclub example from Max De Marzi.

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Announcing NODES 2019 Global GraphHack

Leading up to our first-ever Neo4j Online Developer Expo and Summit (NODES 2019), we’re planning a worldwide virtual hackathon with our community! Neo4j community members of all experience levels are encouraged to participate. This is a great opportunity to connect… Read more →

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Picture This: How AIG Visualizes Propagation of Risk

Discover how AIG is using Neo4j and Tom Sawyer Software to visualize risk propagation before it spreads through their firm’s infrastructure.

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Compliance at Scale: 5-Minute Interview with Lloyd Byrd

Check out this 5-minute interview with Lloyd Byrd, VP of Application Development and Technology Solutions at Convergys, who uses Neo4j for GDPR compliance.

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Build the Future: GraphConnect 2020 Registration Is Officially Open

Register for GraphConnect 2020, happening April 20-22 in Times Square, New York City, for the greatest global gathering of the graph technology community.

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Transforming Health Information Technology with a Knowledge Graph

Learn how graph technology aids with the efficiency of electronic data entry in the healthcare industry, featuring vascular surgeon Christopher Wixon.

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Liberating Knowledge: Machine Learning Techniques with Neo4j

Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.

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Collaborative Technology Intelligence Platform

Discover how DuPont uses Neo4j to solve global challenges and share information with its diverse group of end users including scientists and engineers.

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Accelerating Digital Transformation at CA Technologies with Neo4j

Discover how CA Technologies used Neo4j to share enriched data between their sales, development and IT teams to create a company-wise database.

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The Present and Future of Artificial Intelligence and Machine Learning

Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.

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Ingesting Data into Neo4j for Master Data Management

Discover how StreamSets uses the power of the Neo4j graph database for data integration and master data management.

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Information Sharing for Enterprise Architects at the DHS

Dive into information sharing with DHS enterprise architects and see how implementing graphs changed their entire methodology.

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Graph Technology to Fight Terrorist Threats

Discover how the American Enterprise Institute uses Neo4j and Linkurious to find hidden complex data relationships to uncover terrorist threats.

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Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience

Save the date for GraphConnect 2020, April 20-22 in Times Square, New York City, and sign up to receive notifications about upcoming event details.

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Transforming the Enterprise: AI at Scale with Neo4j

Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.

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More Data, More Visualizations: 5-Minute Interview with Sebastian Müller

Check out this 5-minute interview with Sebastian Müller, CTO of yWorks, creators of a developer tool for visualizations of graph data.

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BloodHound: How Graphs Changed the Way Hackers Attack

Read this blog to learn how graphs revolutionized how hackers attack, and how SpecterOps uses Neo4j to access a company’s cybersecurity measures.

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Real-Time Data Lineage at UBS

Editor’s Note: This presentation was given by Wren Chan and Sidharth Goyal at GraphConnect New York in October 2017. Presentation Summary UBS set out to create a real-time data lineage tool in response to the new BCBS 239 regulations, which… Read more →

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Applying Graphs to Enterprise Media Asset Management

Editor’s Note: This presentation was given by Brant Boehmann and Chris Goodacre at GraphConnect New York in October 2017. Presentation Summary Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for… Read more →

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The Future of Data Visualization

Editor’s Note: This presentation was given by Brendan Madden at GraphConnect New York in October 2017. Presentation Summary Tom Sawyer Software is a graph data visualization tool that was founded long before graph databases first hit the market. But with… Read more →

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Sentiment and Social Network Analysis

Editor’s Note: This presentation was given by Laura Drummer at GraphConnect New York in November 2017. Presentation Summary Traditional social network analysis is performed on a series of nodes and edges, generally gleaned from metadata about interactions between several actors… Read more →

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Mapping Ontologies in Graphs for Personalization

Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016. Presentation Summary Gousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to… Read more →

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The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure

Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed,… 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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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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