LARUS flies to Tokyo for the Neo4j Meetup!

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Not for the cherry blossoms, but to speak at the Neo4j Tokyo Meetup, LARUS, with its partner Fujitsu Labs of America, flies to Japan!

Save the date: On Thursday, 22nd of April Alberto De Lazzari, Chief Scientist at LARUS together with Kanji Uchino, Senior Manager at Fujitsu Labs of America will give you an overview of Galileo XAI and its harnessing to Combat Fraud in Fintech and Insurtech Sectors.

Banca Sella: GALILEO XAI selected for the Sella Data Challenge

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With the beginning of the new year LARUS Business Automation got the chance to start a fresh collaboration and contribute on the research 2021 of “Big Data & Business Analytics Observatory” of the Polytechnic University of Milan, one of the Digital innovation Observatories spreading knowledge on Digital Innovation through Conferences, Media and Publications creating over 5000 press releases and 240 public events every year.

LARUS in La Repubblica-Rome on 14th March

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With the beginning of the new year LARUS Business Automation got the chance to start a fresh collaboration and contribute on the research 2021 of “Big Data & Business Analytics Observatory” of the Polytechnic University of Milan, one of the Digital innovation Observatories spreading knowledge on Digital Innovation through Conferences, Media and Publications creating over 5000 press releases and 240 public events every year.

LARUS Announces Successful Implementation of Explainable Graph AI Technology for Detection of Insurance Fraud

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Proof-of-Concept at large insurance company in Italy results in significant performance improvement over earlier methods March 8, 2021LARUS Business Automation Srl Venice Italy, March 8, 2021: LARUS Business Automation today announced results of the application of the LARUS Galileo Graph Explainable Artificial Intelligence (GXAI) platform powered by Fujitsu Deep Tensor® Technology at a large insurance company […]

LARUS partner 2021 of Big Data & Business Analytics Observatory – School of Management, PoliMi

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With the beginning of the new year LARUS Business Automation got the chance to start a fresh collaboration and contribute on the research 2021 of “Big Data & Business Analytics Observatory” of the Polytechnic University of Milan, one of the Digital innovation Observatories spreading knowledge on Digital Innovation through Conferences, Media and Publications creating over 5000 press releases and 240 public events every year.

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 […]