Alvaro Dias
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FQM311: CIENCIAS DEL TRABAJO (CIENCIAS DEL TRABAJO)
Open Date: 2017-06-01
Close Date:
Articles (11)
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Considering the last decades and several economic crises, operational risk is a rising area, and companies are slowly realizing that the more they invest in it, the less profits they lose. Artificial intelligence is the critical topic of the century, wide enough to cover all conceivable areas, bringing easy, cheaper, and more precise ways of doing tasks. This paper reflects the progresses of implementing artificial intelligence technologies in the control of operational risks. The qualitative research revealed the deficiency of investment as well as the absence of information concerning the progresses on the AI technologies applicable to OpRisk controls. Obstacles as the lack of human resources capabilities and prioritising other sectors are impediments to this automation. Companies must invest in the OpRisk departments, considering the existing AI solutions that allow the maturation of OpRisk controls and, therefore, mitigate losses that occur from them.
Year:
2022
Year:
2021
Collaborators (8)
Rui Alexandre Henriques Gonçalves
Professor
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Rosario González-Rodríguez
Universidad de Sevilla
Paulo Matos Graça Ramos
Guest Lecturer
Universidade Católica Portuguesa, Faculdade de Teologia
Leandro F. Pereira
Associate Professor with Habilitation
ISCTE Business School
Vasco Santos
PhD Coordinator Professor
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Bruno Sousa
Adjunct Professor
Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão
Arlindo Madeira
ISCTE-Instituto Universitário de Lisboa
Mafalda Patuleia
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