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dc.contributor.authorAksoy, Tamer
dc.contributor.authorKahyaoğlu, Sezer Bozkuşen_US
dc.date.accessioned2021-03-24T13:37:20Z
dc.date.available2021-03-24T13:37:20Z
dc.date.issued2021en_US
dc.identifier.citationKahyaoğlu, S. B. ve Aksoy, T. (2021). Artificial intelligence in internal audit and risk assessment. Financial Ecosystem and Strategy in the Digital Era: Global Approaches and New Opportunities içinde (ss. ). Switzerland: Springer. https://doi.org/10.1007/978-3-030-72624-9_8en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1434
dc.identifier.urihttps://doi.org/10.1007/978-3-030-72624-9_8
dc.description.abstractIn this study, the effects of artificial intelligence applications, which have gained importance recently, on internal audit and risk assessment are analyzed. Internal audit and risk assessment are critical for the early detection of risks that arise in the processes of businesses that are becoming more complex and exposed to external factors due to digitalization.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofFinancial Ecosystem and Strategy in the Digital Era: Global Approaches and New Opportunitiesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInternal Auditen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.subjectRisk Assessmenten_US
dc.subjectEarly Detection of Risksen_US
dc.subjectDigitalizationen_US
dc.subjectBig Data Analysisen_US
dc.subjectDeep Learningen_US
dc.subjectData Processingen_US
dc.subjectDigital Literacyen_US
dc.titleArtificial intelligence in internal audit and risk assessmenten_US
dc.typebookParten_US
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümüen_US
dc.authorid0000-0003-2865-3399en_US
dc.authorid0000-0001-6483-4547en_US
dc.ihuauthorid0000-0001-6483-4547en_US
dc.relation.ihupublicationcategory124en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.contributor.institutionauthorAksoy, Tamer
dc.identifier.doi10.1007/978-3-030-72624-9_8
dc.identifier.scopus2-s2.0-85128763244en_US
dc.identifier.scopusqualityN/Aen_US


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