The blog

Jean Villedieu

Linkurious Co-Founder

Jean has worked with several Fortune 500 companies to help them find insights in complex connected data. Previously he worked in the consulting industry on R&D projects and in sales. Jean has a degree in political sciences and a degree in competitive intelligence.

jean

Publications of the author

Eproseed and Linkurious team up to provide next generation data analytics to combat fraud and money laundering

eProseed and Linkurious are pleased to announce a strategic partnership combining eProseed data management excellence with Linkurious’ world class enterprise graph data visualization and analytics solution. With data playing an increasingly critical role in every aspect of business, companies recognize that they need additional digital solutions to ensure they remain on the competitive vanguard. The […]

AML compliance: New technologies to fight back against money laundering networks

It’s estimated that between $800 billion to $2 trillion is laundered annually. Neutralizing money laundering networks is critical to fighting back against drug trafficking, human exploitation, corruption, and more. Traditional Anti-Money Laundering (AML) technologies can’t keep up with the scale and flexibility required to unmask criminal networks. This article will present the benefits of graph […]

deutsche bank fincen leaks linkurious

The technology behind the FinCEN files investigation

ICIJ’s latest investigation, the FinCEN files, sheds light on how financial criminals use US banks to move money throughout the world. This blog post looks behind the scenes of the investigation to explain how ICIJ used Linkurious Enterprise coupled with the Neo4j graph database and other tools to uncover stories of corruption, fraud and money laundering. NB: […]

Anti-money laundering use cases for graph analytics

Anti-money laundering (AML) and graph analytics is a match made in heaven. A lot of anti-money laundering use cases require identifying suspicious connections whereas graph analytics is designed to analyze complex connections from big data at scale. In this article we will provide a series of examples where graph analytics can be used to fight back […]

Linkurious Enterprise now supports Neo4j v4

With the latest version of Linkurious Enterprise v2.9.5 available to clients and partners, it’s now possible to use the leading detection and investigation software for graph data with the latest version of Neo4j. Neo4j v4 brings multiple improvements, most notably support for multi-tenancy. Neo4j users can now run multiple instances from the same server. With […]

AML and graph analytics: a match made in heaven

Why should Anti-Money Laundering (AML) teams pay attention to graph analytics? In this article we will dive into the problems with today’s AML compliance technology, how it impacts anti-money laundering and how graph analytics can provide a path forward for a more effective detection and investigation of AML cases.