Artificial Intelligence and Anti-Money Laundering Compliance

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dc.contributor.advisor Minto, Andrea it_IT
dc.contributor.author Sartori, Olga <2000> it_IT
dc.date.accessioned 2024-06-16 it_IT
dc.date.accessioned 2024-11-13T09:47:02Z
dc.date.issued 2024-07-10 it_IT
dc.identifier.uri http://hdl.handle.net/10579/27366
dc.description.abstract Artificial intelligence (AI) is playing an increasingly important role in the field of anti-money laundering (AML) compliance. With a significant growth in the complexity and volume of financial transactions, banks and other financial institutions are facing mounting challenges in preventing money laundering and related illicit activities. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Olga Sartori, 2024 it_IT
dc.title Artificial Intelligence and Anti-Money Laundering Compliance it_IT
dc.title.alternative Artificial Intelligence and Anti-Money Laundering Compliance it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economics, finance and sustainability it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear sessione_estiva_2023-2024_appello_08-07-24 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 882239 it_IT
dc.subject.miur IUS/05 DIRITTO DELL'ECONOMIA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Olga Sartori (882239@stud.unive.it), 2024-06-16 it_IT
dc.provenance.plagiarycheck Andrea Minto (andrea.minto@unive.it), 2024-07-08 it_IT


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