Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection

Detalhes bibliográficos
Autor(a) principal: Guimaraes, Amanda De Azevedo
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/108422
Resumo: The insurance industry has always been a crucial part of the economy and society’s progress worldwide. However, it is currently facing an unprecedented scenario composed of high risks and opportunities. This study aims to explain and analyze the process of digitalization in this sector and what are the available applications of artificial intelligence for fraud detection in claim management.It also comprehends a discussion about Brazil, with recommendations that were validated with local professionals from major players in the industry. Hence, the methodological approach chosen for this study wasa combination of the qualitative method, essentially based on the review and analysis of academic literature and reports, with important interviews.Lastly, it was concluded that most insurance companies are still at the beginning of the digitalization process, seeking a better understanding of its landscape. Consequently, A.I.applications are slowly being implemented by some large insurance companies.
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spelling Digital transformation in the insurance industry: applications of artificial intelligence in fraud detectionInsuranceDigital transformationTechnologyArtificial intelligenceClaim managementDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe insurance industry has always been a crucial part of the economy and society’s progress worldwide. However, it is currently facing an unprecedented scenario composed of high risks and opportunities. This study aims to explain and analyze the process of digitalization in this sector and what are the available applications of artificial intelligence for fraud detection in claim management.It also comprehends a discussion about Brazil, with recommendations that were validated with local professionals from major players in the industry. Hence, the methodological approach chosen for this study wasa combination of the qualitative method, essentially based on the review and analysis of academic literature and reports, with important interviews.Lastly, it was concluded that most insurance companies are still at the beginning of the digitalization process, seeking a better understanding of its landscape. Consequently, A.I.applications are slowly being implemented by some large insurance companies.Castro, JoãoRUNGuimaraes, Amanda De Azevedo2020-12-10T14:48:08Z2020-06-022020-05-222020-06-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/108422TID:202524221enginfo: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:RCAAP2024-03-11T04:52:55Zoai:run.unl.pt:10362/108422Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:10.066946Repositório 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 Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
title Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
spellingShingle Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
Guimaraes, Amanda De Azevedo
Insurance
Digital transformation
Technology
Artificial intelligence
Claim management
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
title_full Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
title_fullStr Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
title_full_unstemmed Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
title_sort Digital transformation in the insurance industry: applications of artificial intelligence in fraud detection
author Guimaraes, Amanda De Azevedo
author_facet Guimaraes, Amanda De Azevedo
author_role author
dc.contributor.none.fl_str_mv Castro, João
RUN
dc.contributor.author.fl_str_mv Guimaraes, Amanda De Azevedo
dc.subject.por.fl_str_mv Insurance
Digital transformation
Technology
Artificial intelligence
Claim management
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Insurance
Digital transformation
Technology
Artificial intelligence
Claim management
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The insurance industry has always been a crucial part of the economy and society’s progress worldwide. However, it is currently facing an unprecedented scenario composed of high risks and opportunities. This study aims to explain and analyze the process of digitalization in this sector and what are the available applications of artificial intelligence for fraud detection in claim management.It also comprehends a discussion about Brazil, with recommendations that were validated with local professionals from major players in the industry. Hence, the methodological approach chosen for this study wasa combination of the qualitative method, essentially based on the review and analysis of academic literature and reports, with important interviews.Lastly, it was concluded that most insurance companies are still at the beginning of the digitalization process, seeking a better understanding of its landscape. Consequently, A.I.applications are slowly being implemented by some large insurance companies.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T14:48:08Z
2020-06-02
2020-05-22
2020-06-02T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/108422
TID:202524221
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dc.language.iso.fl_str_mv eng
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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