How Graphs can help insurance industry to combat Fraud Detection Introduction Insurance fraud came into being concomitantly with the spread of insurance policies themselves. From then on, every type of insurance coverage has always been accompanied by attempts, of varying degrees of success, to defraud insurers. In times of recession and economic crisis, insurance fraud […]
We are very proud to be the first Partner of Fujitsu! Fujitsu Laboratories, the R&D arm of Fujitsu Ltd., developed a new Graph AI technology that uses a novel tensor decomposition method called “Deep Tensor”. Deep Tensor leverages new tensor processing techniques and a deep neural network to automatically extract relevant features of graph data. […]
We are pleased to announce a partnership with Fujitsu Laboratories, the R&D arm of Fujitsu Ltd. Fujitsu Laboratories, the R&D arm of Fujitsu Ltd., developed a new graph AI technology that uses a novel tensor decomposition method called “Deep Tensor”. Deep Tensor leverages new tensor processing techniques and a deep neural network to automatically extract […]
Human diseases spread over networks of contacts between individuals. Whether they are tracking the future spread of an epidemic, or determining where best to distribute a vaccine during an outbreak, today’s disease researchers depend on reliable computer models. One of the ultimate goals is to understand how the topological structures of networks affect the dynamics […]
Building Information Modeling (BIM) is one of the most significant technological advancements in recent years that has been adopted by the Architecture, Engineering and Construction (AEC) industry. Currently BIM model has been explored mainly for information construction and utilization, but rare works pay efforts to convert BIM into an effective information model able to significantly […]
Graph technology is formed around the idea of building databases using mathematical graph theory to store data and the links between data as relationships. While the underlying math is quite complex, the most important thing is that graph databases emphasize the connections between data as much as the individual data points by explicitly storing those […]
To reduce or better prevent the economical and reputational repercussions of fraud, many organizations make their traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals or individual devices. Increasingly sophisticated fraudsters have developed a variety of ways to escape detection by forming fraud rings comprised of stolen and synthetic identities. […]
Nowadays customers demand to see their data in real-time without any lag time. The challenge is to process in real-time and, if necessary, transform or clean the data to make sense of it. It’s not just about the quantity of data you can analyze at once, it’s about the speed, scale, and quality of processing. A […]
We are very happy to join this year the Big Data Academy workshop series organized by our long-time partner BNova. We will be part of the 4 days “Data-Driven Workshop” in March and April 2019. You can find the full program and registration process here: LARUS will head the second day of work, next April […]