Combating money-laundering, fraud or cyber-crime is now a data-driven job. As we gather and analyze more and more data, the opportunity to find evidence of wrongdoings increases. But with large, inconsistent and scattered data sources, extracting insights is a challenge for many organizations.
For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this article, we explore the possibilities that graph technology is offering for intelligence analysis.
After announcing the Graph Intelligence Platform a few days ago, we are thrilled to share that the latest version of Linkurious Enterprise is out! Linkurious 2.5 is a beta version that introduces revamped style and filter panels for a better graph customization and data analysis experience. It also embeds Ogma’s new graphics engine, improving its […]
Today we are excited to announce that we are doubling down on graph intelligence, the use of graph technology to make it easier and faster for organizations to detect and investigate threats hidden in large complex datasets.
What is a knowledge graph Popularized by the introduction of Google’s Knowledge Graph in 2012, the use of knowledge graphs is now spreading among businesses. Defined as large networks of entities that integrate semantic types, properties, and relationships between entities, they organize all the data in an enterprise-wide graph within an organization. Enterprise knowledge graphs […]
Paris, May 9th, 2018 – Linkurious, the award-winning startup behind Linkurious Enterprise graph visualization and analysis platform, announces that it is officially adding support for JanusGraph on IBM Compose.