In this blog post, our partners from CGI describe their approach to fraud detection and anti-money laundering: a combination of machine learning and graph technology.
This post was originally published on Global Witness blog on January 17th, 2018 by Sam Leon who takes us behind the scenes of Global Witness’ investigation “Narco-A-Lago: Money Laundering at the Trump Ocean Club, Panama”. He explains how the teams collected, processed and analyzed the data gathered for the investigation.
The inside story of the Paradise Papers leak Linkurious is a partner of the International Investigative Journalist Consortium (ICIJ) since the Swiss Leaks and the Panama Papers scandal. ICIJ network of 380 journalists used Linkurious’ data analytics software to investigate the Paradise Papers leak. With more than 1,4 terabytes of data, the Paradise Papers is the […]
In this blog post our partner Mario Bastande, Data Officer at Action Against Hunger (ACF) explains how he used graph technology to improve the deployment of humanitarian projects. Action Against Hunger is a global humanitarian organization created in 1979, committed to ending world hunger. The organization helps malnourished children while providing communities with access to […]
Discover our user stories and learn about the challenges they overcame with Linkurious solutions. In this post we explain how the Université de Lorraine used Linkurious Enterprise to handle IT infrastructure changes.
Discover our user stories and learn about the challenges they overcame with Linkurious solutions. In this post we explain how BforBank’s risk and compliance unit is using Linkurious Enterprise to stop and investigate complex fraud cases.