Graphs for Artificial Intelligence and Machine Learning

Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.

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21 Reading Recommendations for 2021

Check out the 21 books to add to your 2021 reading list in 2021, on topics including graph technology and AI/machine learning.

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The Top 7 Neo4j Webinars of 2020

Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.

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Combating Money Laundering: Graph Tech Fights Serious Crimes

Read the first blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.

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The Power of Graph Data Science: 5-Minute Interview with Alicia Frame

Check out this week’s 5-Minute Interview with Alicia Frame, Senior Data Scientist at Neo4j, about the Neo4j Graph Data Science Library.

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Building the Enterprise Knowledge Graph

Learn how to build and implement an enterprise knowledge graph from the groun up using the Google Drive API and Neo4j Python.

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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: How Smart Recommendations Drive Value

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

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Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings

Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

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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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Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering

Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

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Announcing Neo4j for Graph Data Science

Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.

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Fujitsu Laboratories of America Partners with Larus to Provide Enhanced Graph AI Technologies to Neo4j Customers

Fujitsu Laboratories is building on Larus’s expertise in Neo4j customer requirements and application domain knowledge with advanced graph AI technologies.

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Machine Learning Algorithms

Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.

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#GraphCast: Responsible AI

This week’s #GraphCast features Responsible AI where Amy Hodler discusses ethical development and application of artificial intelligence and technology.

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