A management framework for guiding and measuring the maturity of companies´ analytical models

Detalhes bibliográficos
Autor(a) principal: Pereira, Mónica Moreira Guerreiro
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/10362/123543
Resumo: In this paper, based on a clustering process of organizations regarding levels of Machine Learning maturity–the ability to deliver an end-to-end automation process, while defending responsible ML capabilities–,it is proposed a new framework to guide consultants in their role to deliver the most suitable recommendations for any corporate client being served. This includes a method to evaluate in which cluster a given company fits, which in turn associates to a set of rules and priorities to reach a higher level of ML maturity.
id RCAP_af4df13bc43fa8632cf1aaa8e0c3454c
oai_identifier_str oai:run.unl.pt:10362/123543
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling A management framework for guiding and measuring the maturity of companies´ analytical modelsMlopsMachine learningBusiness automationManagement framework developmentGovernance.Domínio/Área Científica::Ciências Sociais::Economia e GestãoIn this paper, based on a clustering process of organizations regarding levels of Machine Learning maturity–the ability to deliver an end-to-end automation process, while defending responsible ML capabilities–,it is proposed a new framework to guide consultants in their role to deliver the most suitable recommendations for any corporate client being served. This includes a method to evaluate in which cluster a given company fits, which in turn associates to a set of rules and priorities to reach a higher level of ML maturity.Pereira, RicardoRUNPereira, Mónica Moreira Guerreiro2023-01-04T01:31:03Z2021-01-182020-01-042021-01-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/123543TID:202739660enginfo: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:RCAAP2024-05-22T17:55:29Zoai:run.unl.pt:10362/123543Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:55:29Repositório 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 A management framework for guiding and measuring the maturity of companies´ analytical models
title A management framework for guiding and measuring the maturity of companies´ analytical models
spellingShingle A management framework for guiding and measuring the maturity of companies´ analytical models
Pereira, Mónica Moreira Guerreiro
Mlops
Machine learning
Business automation
Management framework development
Governance.
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short A management framework for guiding and measuring the maturity of companies´ analytical models
title_full A management framework for guiding and measuring the maturity of companies´ analytical models
title_fullStr A management framework for guiding and measuring the maturity of companies´ analytical models
title_full_unstemmed A management framework for guiding and measuring the maturity of companies´ analytical models
title_sort A management framework for guiding and measuring the maturity of companies´ analytical models
author Pereira, Mónica Moreira Guerreiro
author_facet Pereira, Mónica Moreira Guerreiro
author_role author
dc.contributor.none.fl_str_mv Pereira, Ricardo
RUN
dc.contributor.author.fl_str_mv Pereira, Mónica Moreira Guerreiro
dc.subject.por.fl_str_mv Mlops
Machine learning
Business automation
Management framework development
Governance.
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Mlops
Machine learning
Business automation
Management framework development
Governance.
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description In this paper, based on a clustering process of organizations regarding levels of Machine Learning maturity–the ability to deliver an end-to-end automation process, while defending responsible ML capabilities–,it is proposed a new framework to guide consultants in their role to deliver the most suitable recommendations for any corporate client being served. This includes a method to evaluate in which cluster a given company fits, which in turn associates to a set of rules and priorities to reach a higher level of ML maturity.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-04
2021-01-18
2021-01-18T00:00:00Z
2023-01-04T01:31:03Z
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/10362/123543
TID:202739660
url http://hdl.handle.net/10362/123543
identifier_str_mv TID:202739660
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
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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 mluisa.alvim@gmail.com
_version_ 1817545816877826048

Registros relacionados