Established in 2018 in collaboration with leading scientific partners, Intesa Sanpaolo Innovation Center's Artificial Intelligence Lab has defined an open innovation model for applied research as well. The goal is to generate new assets (algorithms, mathematical models, humanoid robotics and service solutions) to be industrialized in support of business, while protecting their intellectual property and going so far as to produce numerous scientific publications, which certify the level of innovativeness of the work done. The Lab shares the results of its work with colleagues and external audiences through dissemination seminars. The AI Lab model has enabled the emergence of projects such as the Anti Financial Crime Digital Hub, whose founding partners include Intesa Sanpaolo, Intesa Sanpaolo Innovation Center, PoliTO, UniTO and CENTAI. The collaborative model is also enhanced in the PNRR in which innovation is increasingly understood as the result of interchange between different entities, especially between the public and private sectors.
MAIN AREAS
Energy
AI to facilitate the energy transition and resource optimization.
Decarbonization
AI to measure and reduce the carbon footprint and consumption.
Agtech
Service Robotic and AI models for a new model of sustainable development.
Health & Safety and Wellbeing
Humanoid Robotics to support therapies and AI for formulating diagnoses.
Marketing & Communications
AI to allow the analysis of complex data sources (high and unstructured volumes).
Governance & Cybersecurity
AI as an analysis tool in the field of anti-financial crime and cybersecurity.
Finance, Insurance & Wealth Management
AI to support Financial Institutions
Scientific publications
Alessia Lai, Annalisa Bergna, Stefano Toppo, Marina Morganti, Stefano Menzo, Valeria Ghisetti, Bianca Bruzzone, Mauro Codeluppi, Vito Fiore, Emmanuele Venanzi Rullo, Guido Antonelli, Loredana Sarmati, Gaetano Brindicci, Annapaola Callegaro, Caterina Sagnelli, Daniela Francisci, Ilaria Vicenti, Arianna Miola, Giovanni Tonon, Daniela Cirillo, Ilaria Menozzi, Sara Caucci, Francesco Cerutti, Andrea Orsi, Roberta Schiavo, Sergio Babudieri, Giuseppe Nunnari, Claudio M. Mastroianni, Massimo Andreoni, Laura Monno, Davide Guarneri, Nicola Coppola, Andrea Crisanti, Massimo Galli, Gianguglielmo Zehender
Claudia Berloco, Gianmarco De Francisci Morales, Daniele Frassineti, Greta Greco, Hashani Kumarasinghe, Marco Lamieri, Emanuele Massaro, Arianna Miola, Shuyi Yang
Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, André Panisson, Walter Allasia, Marco Fornasiero, Laura Li Puma, Valeria Ricci, Silvia Ronchiadin, Angela Ugrinoska, Marco Varetto, Dario Moncalvo
ECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2021)
Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
ECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2021)
Predicting corporate credit risk: Network contagion via trade credit
Claudia Berloco, Gianmarco De Francisci Morales, Daniele Frassineti, Greta Greco, Hashani Kumarasinghe, Marco Lamieri, Emanuele Massaro, Arianna Miola, Shuyi Yang
Smurf-based Anti-Money Laundering in Time-Evolving Transaction Networks
Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, André Panisson, Walter Allasia, Marco Fornasiero, Laura Li Puma, Valeria Ricci, Silvia Ronchiadin, Angela Ugrinoska, Marco Varetto, Dario Moncalvo
ECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2021)
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company
Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
ECML PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2021)
