The impact of artificial intelligence in operational risk management
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/23075 |
Resumo: | Within the risk areas, Operational Risk is the furthermost unexplored area of all. Considering the last decades and the several economic crises that Europe and the world have experienced, Operational Risk is a rising area and companies are slowly starting to realize that the more they invest on the control of Operational risks, the less profits they lose. Artificial Intelligence is the critical topic of the century, being wide enough to cover almost every area imaginable, bringing easy, cheaper and more precise ways of doing all sort of tasks. This research reflects the progresses made by companies from various sector of activity in the implementation of Artificial Intelligence technologies in the mitigation and control of Operational Risks. The qualitative research completed by the analysis of a set of interviews revealed the deficiency of investment around Operational Risk, as well as the absence of knowledge and information concerning the progress on the Artificial Intelligence technologies applicable to Operational Risk controls. Obstacles as the lack of human resources capabilities and prioritising other sectors were shared by the interviewees as an impediment to the application of AI systems in OpRisk. Companies must develop and invest in the Operational Risk departments, considering the existing Artificial Intelligence solutions that allow for the maturation and improvement of the control of these risks and, therefore, allows to mitigate losses that occur from them. |
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The impact of artificial intelligence in operational risk managementOperational riskArtificial intelligenceRisco operacionalInteligência artificialAutomatização -- AutomationWithin the risk areas, Operational Risk is the furthermost unexplored area of all. Considering the last decades and the several economic crises that Europe and the world have experienced, Operational Risk is a rising area and companies are slowly starting to realize that the more they invest on the control of Operational risks, the less profits they lose. Artificial Intelligence is the critical topic of the century, being wide enough to cover almost every area imaginable, bringing easy, cheaper and more precise ways of doing all sort of tasks. This research reflects the progresses made by companies from various sector of activity in the implementation of Artificial Intelligence technologies in the mitigation and control of Operational Risks. The qualitative research completed by the analysis of a set of interviews revealed the deficiency of investment around Operational Risk, as well as the absence of knowledge and information concerning the progress on the Artificial Intelligence technologies applicable to Operational Risk controls. Obstacles as the lack of human resources capabilities and prioritising other sectors were shared by the interviewees as an impediment to the application of AI systems in OpRisk. Companies must develop and invest in the Operational Risk departments, considering the existing Artificial Intelligence solutions that allow for the maturation and improvement of the control of these risks and, therefore, allows to mitigate losses that occur from them.Dentro das áreas de risco, o Risco Operacional é a área mais inexplorada de todas. Tendo em conta as últimas décadas e as várias crises económicas que a Europa e o mundo viveram, o Risco Operacional é uma área em ascensão e as empresas aos poucos começam a perceber que quanto mais investem no seu controlo, menores são as perdas. A Inteligência Artificial é o tópico crítico do século, sendo ampla o suficiente para cobrir quase todas as áreas imagináveis, e trazendo soluções fáceis, económicas e mais precisas para todos os tipos de tarefas. Esta pesquisa estuda os avanços feitos por empresas de diversos setores de atividade na aplicação de tecnologias de Inteligência Artificial na mitigação e controlo de Riscos Operacionais. A pesquisa qualitativa realizada pela análise de um conjunto de entrevistas revelou a deficiência de investimento na área de Risco Operacional, bem como a ausência de conhecimento e informação sobre o avanço das tecnologias de Inteligência Artificial aplicáveis aos controlos de Risco Operacional. Obstáculos como a falta de qualificação de recursos humanos e priorização de outros setores foram partilhados pelos entrevistados como impedimentos à aplicação destes sistemas. Neste sentido, as empresas devem ponderar o investimento nos departamentos de Risco Operacional, considerando as existentes soluções de Inteligência Artificial que permitem maturar e aperfeiçoar o controlo destes riscos e como consequência, mitigar perdas que ocorram dos mesmos.2021-09-02T10:54:27Z2021-07-30T00:00:00Z2021-07-302021-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/23075TID:202759148engCarvalho, Maria Carolina Pereira deinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:54:59Zoai:repositorio.iscte-iul.pt:10071/23075Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:27:54.108090Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The impact of artificial intelligence in operational risk management |
title |
The impact of artificial intelligence in operational risk management |
spellingShingle |
The impact of artificial intelligence in operational risk management Carvalho, Maria Carolina Pereira de Operational risk Artificial intelligence Risco operacional Inteligência artificial Automatização -- Automation |
title_short |
The impact of artificial intelligence in operational risk management |
title_full |
The impact of artificial intelligence in operational risk management |
title_fullStr |
The impact of artificial intelligence in operational risk management |
title_full_unstemmed |
The impact of artificial intelligence in operational risk management |
title_sort |
The impact of artificial intelligence in operational risk management |
author |
Carvalho, Maria Carolina Pereira de |
author_facet |
Carvalho, Maria Carolina Pereira de |
author_role |
author |
dc.contributor.author.fl_str_mv |
Carvalho, Maria Carolina Pereira de |
dc.subject.por.fl_str_mv |
Operational risk Artificial intelligence Risco operacional Inteligência artificial Automatização -- Automation |
topic |
Operational risk Artificial intelligence Risco operacional Inteligência artificial Automatização -- Automation |
description |
Within the risk areas, Operational Risk is the furthermost unexplored area of all. Considering the last decades and the several economic crises that Europe and the world have experienced, Operational Risk is a rising area and companies are slowly starting to realize that the more they invest on the control of Operational risks, the less profits they lose. Artificial Intelligence is the critical topic of the century, being wide enough to cover almost every area imaginable, bringing easy, cheaper and more precise ways of doing all sort of tasks. This research reflects the progresses made by companies from various sector of activity in the implementation of Artificial Intelligence technologies in the mitigation and control of Operational Risks. The qualitative research completed by the analysis of a set of interviews revealed the deficiency of investment around Operational Risk, as well as the absence of knowledge and information concerning the progress on the Artificial Intelligence technologies applicable to Operational Risk controls. Obstacles as the lack of human resources capabilities and prioritising other sectors were shared by the interviewees as an impediment to the application of AI systems in OpRisk. Companies must develop and invest in the Operational Risk departments, considering the existing Artificial Intelligence solutions that allow for the maturation and improvement of the control of these risks and, therefore, allows to mitigate losses that occur from them. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-02T10:54:27Z 2021-07-30T00:00:00Z 2021-07-30 2021-07 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/23075 TID:202759148 |
url |
http://hdl.handle.net/10071/23075 |
identifier_str_mv |
TID:202759148 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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