Knowledge Graphs & Navigating the Future of AI: An Interview with Charlie Beveridge of Accenture

Check out this interview with Charlie Beveridge from Accenture on navigating the future of artificial intelligence with knowledge graphs.

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Designing the Enterprise: HR Applications at Scale

Read up on this GraphConnect talk to discover how EY employed a Neo4j graph database to design their enterprise HR application at scale.

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Neo4j and Cloud Foundry

Discover how Jenny McLaughlin, Pivotal, deploys applications and services faster with the help of Neo4j and Pivotal Cloud Foundry.

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Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database

Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.

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Your World Seen Through Your Eyes with Neo4j Bloom

Andreas Kolleger discusses Neo4j Bloom and the possibilities it opens up for enterprise organizations across their departments.

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Graph-Powered Recommendations: Instantly Evaluating Relationships

Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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How Previa Is Reimagining Healthcare

Editor’s Note: This presentation was given by Alessandro Svensson and Sarah Johnnesson at GraphConnect New York in September 2018. Presentation Summary Alessandro Svensson is the Head of Neo4j Innovation Labs within the U.S. He and Sarah Johnnesson of Previa discuss… Read more →

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Why Connected Data is Crucial to Pharmaceutical Research

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Leveraging Graphs for GDPR at Convergys

Lloyd Byrd discusses how the addition of graph technology helped Convergys solve more than just their issues around the latest EU GDPR directive.

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Ontologies in Neo4j: Semantics and Knowledge Graphs

Jesús Barrasa presents the two biggest uses of ontologies in graphs using Neo4j and NeoSemantics; inferences and interoperability.

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Graphs to Fight Diabetes

Discover how Neo4j graph databases contribute to the study, understanding, prevention and treatment concerning diabetes with Alexander Jarasch from DZD.

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From Collections to Connections: Where Hadoop Adoption Goes from Here

Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.

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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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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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Mobile Experiences at Scale: 5-Minute Interview with James Gray

“Literally within minutes or seconds, customers generate mobile device audiences at scale,” said James Gray, Director of Product for Big Data at Phunware. Phunware’s mobile applications platform allows some of the biggest brands in the world to deliver great mobile… 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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Graph Algorithms in Neo4j: The Neo4j Graph Algorithms Library

The Neo4j Graph Algorithms Library is used on your connected data to gain new insights more easily within Neo4j. These graph algorithms improve results from your graph data, for example by focusing on particular communities or favoring popular entities. This… Read more →

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Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets

“With Neo4j, we can run analyses across relationships. These analyses are not feasible or even possible when the data is spread out among different systems,” said Pat Patterson, Technical Director, StreamSets. In this week’s five-minute interview, we discuss how StreamSets… Read more →

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Graph Algorithms in Neo4j: Connected Data & Graph Analysis

Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are… Read more →

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