A seguito del grande successo avvenuto con l’Open Source Week di Dicembre 2020, per il 2021 la Rete Italiana Open Source (RIOS) ha lanciato un nuovo format bimestrale – virtuale che accompagnerà il pubblico per tutto l’anno al fine di renderlo aggiornato sulle tematiche dell’universo open e delle relative tecnologie, l’Open Source Time.
Dopo la prima puntata di marzo dedicata al Gitlab, la prossima, focalizzata sull’Intelligenza Artificiale, sarà il 25 Maggio con una ricca tavola Rotonda con vari esperti della Rete.
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, in collaboration with Fintech District and Fabrick (an excellence community for business innovation in financial services, the other number one company operating in Italy with the objective to increase the utilisation of open finance), has launched a competition with the goal to identify new solutions to the customers product-offer, in response to the application of data analysis.
Last Sunday in La Repubblica – Roma and Milan were released a piece completely dedicated to LARUS.
During the interview with our CEO, Lorenzo Speranzoni, and some of our team members such as Alberto De Lazzari, Andrea Santurbano and Simone Ceccarelli, we shared the story of our reality, of Galileo XAI, and of how network analysis, open source, data visualization and explainable AI are now our 4 pillars.Clearly #Team, #LARUSLabs, #LarusAcademy and Partnerships were other significant topics.
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 […]
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.
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 […]
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 […]