The Neo4j BI Connector: Introduction

Read blog one in our five-part series on how the Neo4j BI Connector bridges the gap between the tools people love and the query language those tools use.

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Find More Fraud with Graph Data Science [Infographic]

Learn how graph data science enables teams financial institutions to detect even the most sophisticated fraud schemes.

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#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editorial Assistant, Corin Gainey, gave us a quick start to Summer of Nodes with Neo4j Sandbox.… Read more →

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Chaos Engineering with Neo4j

Explore how to do chaos engineering if Neo4j is part of your application stack, and obtain foreknowledge of how to save the day when bad things happen.

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Predicting Fraud: 5-Minute Interview with Marius Hartmann

Check out this week’s 5-Minute Interview with Marius Hartmann, Chief Advisor at the Danish Business Authority, about predicting fraud.

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#GraphCast: How to Solve a Crime with Graph Theory

Check out this week’s #GraphCast, featuring a brief explainer video on how graph theory could be used to solve crimes. Watch the video to learn more.

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This Week in Neo4j – Web Applications with Neo4j and TypeScript, Neo4j Desktop Release, Graph Embeddings Tutorial

Hi graph gang, In this week’s video, Adam Cowley starts a video showing how to build web applications with Neo4j and TypeScript. Stefan Dreverman builds a new module in the low code platform, Rik Van Bruggen explains what Fraud Detection… 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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See Your Graphs in Bloom: The 5-Minute Interview with Anurag Tandon, Neo4j

Check out this 5-minute interview with Anurag Tandon of Neo4j, who discusses graph data visualization tool Bloom and its best use cases.

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Detecting Cryptocurrency Fraud with Neo4j

As cryptocurrency is likely to play a big role in the future of finance, link analysts need graph visualization fraud detection tools that are up to the job.

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Anti-Money Laundering Compliance with Graph Technology [Infographic]

Money laundering is a major challenge for financial organizations. Learn how graph technology solves compliance challenges associated with money laundering.

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This Week in Neo4j – New Book: Fullstack GraphQL Applications with GRANDstack, Leveraging Graph Algorithms In Visualizations, Marketing Activities in Neo4j

Check out this week’s TWIN4J, in which Mark Needham wraps up the latest on the new book on full-stack GraphQL, graph algorithms and more.

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Toward AI Standards: Context Makes AI More Robust

Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.

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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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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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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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