Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems

Detalhes bibliográficos
Autor(a) principal: Aggarwal, Sippy
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/134634
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systemsArtificial intelligenceBusiness Process ManagementIOTDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementBusiness Process Management (BPM) is a business process control, adaptation and optimization concept. BPM was defined as a systemic approach to catching, forming, executing and documenting, measuring, monitoring and steering automatic, non-automatic processes to achieve co-ordinated and sustainable corporate goals by means of the specific definition for BPM from European Association of Business Process Management (EABPM). BPM's objective is to increase corporate performance through the optimization and management of the company's business process. AI-integrated BPM solutions help companies overcome performance barriers and increase their productivity and quality of work. AI is no longer a scary technology that has been difficult to use. Small and large companies gradually recognise the capacity to optimise their business processes via AI embedded BPM software. Over time, the broad use of AI is expected to become increasingly accessible to all companies for the automation of business processes. Findings provide the guidelines, challenges, strategies, opportunities and techniques while moving from current, largely programmatic approaches for BPM, to emerging forms of AI- enabled BPM.Santos, Vitor Manuel Pereira Duarte dosRUNAggarwal, Sippy2022-03-16T16:59:09Z2022-02-042022-02-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134634TID:202965767enginfo: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:RCAAP2024-03-11T05:13:06Zoai:run.unl.pt:10362/134634Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:11.276526Repositório 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 Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
title Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
spellingShingle Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
Aggarwal, Sippy
Artificial intelligence
Business Process Management
IOT
title_short Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
title_full Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
title_fullStr Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
title_full_unstemmed Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
title_sort Guidelines for the use of AI in BPM systems: a guide to follow to use ai in BPM systems
author Aggarwal, Sippy
author_facet Aggarwal, Sippy
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Aggarwal, Sippy
dc.subject.por.fl_str_mv Artificial intelligence
Business Process Management
IOT
topic Artificial intelligence
Business Process Management
IOT
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2022
dc.date.none.fl_str_mv 2022-03-16T16:59:09Z
2022-02-04
2022-02-04T00:00:00Z
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/10362/134634
TID:202965767
url http://hdl.handle.net/10362/134634
identifier_str_mv TID:202965767
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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
repository.mail.fl_str_mv
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