Fujitsu and LARUS Leverage Power of Graph Database and Graph Explainable AI Technologies to Strengthen Detection of Credit Card Fraud

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November 24, 2020Fujitsu Laboratories LtdLARUS Business Automation Srl Kawasaki, Japan and Venice, Italy, November 24, 2020 – Fujitsu Laboratories and LARUS Business Automation (LARUS) (Note 1) have jointly verified that credit card payment fraud can be detected with high accuracy by integrating Deep Tensor (Note 2), an explainable graph AI technology (Note 3) developed by […]

Insurance Fraud Detection with Neo4j

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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 […]

Larus Partner with Fujitsu Laboratories of America

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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. […]

LARUS Partners with Fujitsu Laboratories of America to Provide Enhanced Graph AI Technologies to Neo4j Customers

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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 […]

Modeling epidemic processes in complex networks

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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 […]

Why use graph-databases for storing and analysing building models In AEC industry?

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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 […]

Why graph technology is a game changer for the financial services sector

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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 […]

Stop Fraud with Graph Technology

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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.  […]

Larus si espande! Nuovo Centro di Competenza a Pescara, nuove Assunzioni.

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Fondata nel 2004, LARUS Business Automation srl è una solida realtà in cui operano un gruppo di professionisti dell’informatica dediti alla ricerca, sviluppo e applicazione delle più recenti e moderne tecnologie open-source. Grazie alle significative esperienze fatte nelle sviluppo di sistemi business critical, abbiamo compreso che per governare la sempre maggiore complessità delle informazioni trattate […]