Fight Cybercrime With Bloom: The 5-Minute Interview With Bertrand Provost

Meet Bertrand Provost, a Senior Data Scientist at Le Groupe La Poste, a company that operates postal services, banks, insurance, and more. And as France’s biggest local commercial network with 1.3 million daily customers – and delivering 18 billion items annually (!) – it’s not difficult to see how the organization may face some data challenges. Enter graph technology.

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How to Graph an ERP System in 3 Easy Steps

Learn how to build a graph-powered enterprise resource planning system in 3 easy steps, from exporting SAP data to importing it into Neo4j.

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A Power User’s Experience on Using Graph Databases to Drive Better Decision Making

“Bloom visualization makes it easy to drive discussion and help my clients understand the cheapest, fastest, or the greatest value path available to them and drive better decision making,” said Rob Orlando, Chief Operations Officer, Processus Group.

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A Machine Learning Innovation in Predictive Analytics

Discover how graph-based machine learning gives you more accurate predictions, using the CORA dataset as an example.

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Using Graph Technology for Environmental Data Compliance and Implementation

Every person, company, and government is going to be affected by climate change, which is why we are already seeing increasingly demanding regulations from environmental agencies and can expect to see more at the state, national, and international levels.

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Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science

With today’s latest release of Neo4j Bloom 2.3, we bring together the power of Graph Data Science and data visualization to AuraDS users and to anyone with Neo4j Graph Data Science Library setup on their databases.

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1 Year Anniversary: Webinars, Demos, Connections – Oh My!

Watch the coolest webinars from the last few months, from Graphs4Good to live demos of fraud detection and machine learning.

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GraphConnect 2022: 10 Sessions You Don’t Want to Miss

Here are 10 highly-anticipated GraphConnect 2022 presentations (among 130+ sessions) that you don’t want to miss.

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Announcing Neo4j Bloom 1.8: Now Generally Available

Discover the exciting new features in Neo4j Bloom version 1.8 including codeless search, support for date/time properties and more.

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Graphs in China: 5-Minute Interview with Richard Wu & George Zhang

Read this interesting interview with the co-founders of Beijing We-Yun on how they use Neo4j’s graph technology to help their business.

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Simplifying Data Visualization: 5-Minute Interview with Varun Bhandary

Check out this week’s 5-Minute Interview with Varun Bhandary, solutions architect at Cognizant, about his experience with Neo4j’s graph database.

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Graph Data Platforms: From a Napkin Sketch to a Category Leader

Learn about Neo4j’s evolution to being named a leading Graph Data Platform by Forrester Research in their recent report.

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The Neo4j BI Connector: How It Works

Read blog three in Neo4j’s five-part series on the BI Connector.

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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: Graph Data Science Library

Check out this week’s #GraphCast, featuring Mark Needham talking about the basics and benefits of the Neo4j Graph Data Science Library.

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Graph Visualization Just Got Easier: Introducing Neo4j Bloom 1.4!

A few weeks ago, we released Neo4j Bloom version 1.4 with new features to help you get started investigating graphs visually and providing new ways of viewing different types of graphs. We focused on these areas because, although people perform… Read more →

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Analyzing the FinCEN Files with Neo4j

The ICIJ used Neo4j to expose a vast money laundering network running through Western banks. This blog analyzes the FinCEN Files data.

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Combating Money Laundering: Graph Data Visualizations

Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.

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Combating Money Laundering: Sprints with Money Queries

Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.

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Neo4j Bloom Tips and Tricks for Domain Knowledge Experts

Master graph data visualization in Neo4j Bloom from choosing a data model, fitting it to domain and exploring six generic patterns without needing to code.

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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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Upgrade Your Graph Data Science Library Now (or Miss Out on Cool New Features)

Learn about the newest features in Neo4j Graph Data Science library 1.3 released, and discover why you need to upgrade from the old algorithm library.

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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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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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Unlimited Possibilities: 5-Minute Interview with David Mohr

In this week’s five-minute interview with David Mohr (conducted at GraphTour NYC 2019), we discuss how Neo4j helps new users learn graph technology.

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