THE IMPACT OF ARTIFICIAL INTELLIGENCE AND NEW TECHNOLOGIES IN CREDIT SECTOR: COMPARATIVE ANALYSIS BEFORE, DURING AND AFTER COVID-19
dc.contributor.author | Carricoba Fanego, Alejandro | |
dc.date.accessioned | 2024-12-10T01:00:07Z | |
dc.date.available | 2024-12-10T01:00:07Z | |
dc.date.issued | 2024-11-29 | |
dc.description | Trabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2024/2025. Directores/as: José Francisco Tragant Espeche | |
dc.description.abstract | The impact of artificial intelligence and new technologies in the credit sector | |
dc.identifier.uri | https://hdl.handle.net/10115/42451 | |
dc.language.iso | eng | |
dc.publisher | Universidad Rey Juan Carlos | |
dc.rights | Creative Commons Atribución-CompartirIgual 4.0 Internacional | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/legalcode | |
dc.subject | Artificial intelligence | |
dc.subject | credit sector | |
dc.subject | machine learning | |
dc.subject | financial system | |
dc.title | THE IMPACT OF ARTIFICIAL INTELLIGENCE AND NEW TECHNOLOGIES IN CREDIT SECTOR: COMPARATIVE ANALYSIS BEFORE, DURING AND AFTER COVID-19 | |
dc.type | info:eu-repo/semantics/studentThesis |
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