Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector

Artificial intelligence is a technology that allows machines to learn from experiences, adjusting to each new piece of information, performing tasks like humans, enabling construction companies to potentially improve their activities. However, the sector is one of the least digital in the world, imp...

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Authors: Teixeira, Fabio dos Santos; Teixeira, Paulo dos Santos; Rocha, Carlos Alberto Machado da
Format: Article
Status:Published version
Publication date:2020
Country:Brasil
Institution:UFBA
Repository:Cadernos de Prospecção (Online)
Language:Portuguese
OAI Identifier:oai:ojs.periodicos.ufba.br:article/32975
Online Access:https://periodicos.ufba.br/index.php/nit/article/view/32975
Access Level:Open access
Keyword:Prospecção
Inteligência Artificial
Construção Civil.
Prospecting
Artificial Intelligence
Building Construction.
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author Teixeira, Fabio dos Santos
author2 Teixeira, Paulo dos Santos
Rocha, Carlos Alberto Machado da
author2_role author
author
author_browse Rocha, Carlos Alberto Machado da
Teixeira, Fabio dos Santos
Teixeira, Paulo dos Santos
author_facet Teixeira, Fabio dos Santos
Teixeira, Paulo dos Santos
Rocha, Carlos Alberto Machado da
author_role author
collection Cadernos de Prospecção (Online)
description Artificial intelligence is a technology that allows machines to learn from experiences, adjusting to each new piece of information, performing tasks like humans, enabling construction companies to potentially improve their activities. However, the sector is one of the least digital in the world, implementing innovations at a slower pace. Thus, this article aimed to carry out a prospective study of artificial intelligence solutions with potential for use in the sector, for which the patents filed with INPI and Lens were raised, as well as the scientific productions registered on the CAPES and Science Direct platforms. The prospect pointed to a lack of research and development of products related to the theme. However, the United States stands out in the diffusion of these technologies. Brazil, on the other hand, presented an incipient scenario in its development, although there are already government initiatives to remedy them.
eu_rights_str_mv openAccess
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id BR_ce8f2a8a32bfd4e4e5fa6e3dc2a97c54
institution UFBA
instname_str Universidade Federal da Bahia (UFBA)
language por
network_acronym_str BR
network_name_str Brasil
oai_identifier_str oai:ojs.periodicos.ufba.br:article/32975
publishDate 2020
publishDateSort 2020
publisher Universidade Federal da Bahia
publisherStr Universidade Federal da Bahia
reponame_str Cadernos de Prospecção (Online)
spelling Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector Estudo Prospectivo Sobre Inteligência Artificial Aplicado ao Setor da Construção Civil Teixeira, Fabio dos Santos Teixeira, Paulo dos Santos Rocha, Carlos Alberto Machado da Prospecção Inteligência Artificial Construção Civil. Prospecting Artificial Intelligence Building Construction. Artificial intelligence is a technology that allows machines to learn from experiences, adjusting to each new piece of information, performing tasks like humans, enabling construction companies to potentially improve their activities. However, the sector is one of the least digital in the world, implementing innovations at a slower pace. Thus, this article aimed to carry out a prospective study of artificial intelligence solutions with potential for use in the sector, for which the patents filed with INPI and Lens were raised, as well as the scientific productions registered on the CAPES and Science Direct platforms. The prospect pointed to a lack of research and development of products related to the theme. However, the United States stands out in the diffusion of these technologies. Brazil, on the other hand, presented an incipient scenario in its development, although there are already government initiatives to remedy them. A inteligência artificial é uma tecnologia que permite que máquinas aprendam com experiências, ajustando-se a cada nova informação, realizando tarefas como humanos, possibilitando às empresas de construção civil um suporte potencial para melhorar suas atividades. Contudo, o setor é um dos menos digitais do mundo, implementando inovações em ritmo mais lento. Dessa forma, o presente artigo teve como objetivo realizar um estudo prospectivo de soluções de inteligência artificial com potencial de utilização no setor, sendo para isso levantadas as patentes depositadas no INPI e no Lens, assim como as produções científicas registradas nas plataformas CAPES e Science Direct. A prospecção apontou uma carência em pesquisa e desenvolvimento de produtos relacionados ao tema. Contudo, os Estados Unidos destacam-se na difusão dessas tecnologias. Já o Brasil, apresentou um cenário incipiente em seu desenvolvimento, embora já existam iniciativas do poder público para saná-las. Universidade Federal da Bahia https://periodicos.ufba.br/index.php/nit/article/view/32975 10.9771/cp.v13i4.32975
spellingShingle Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector
Teixeira, Fabio dos Santos
Prospecção
Inteligência Artificial
Construção Civil.
Prospecting
Artificial Intelligence
Building Construction.
status_str publishedVersion
title Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector
title_full Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector
title_fullStr Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector
title_full_unstemmed Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector
title_short Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector
title_sort Prospective Study on Artificial Intelligence Applied to the Civil Construction Sector
topic Prospecção
Inteligência Artificial
Construção Civil.
Prospecting
Artificial Intelligence
Building Construction.
topic_facet Prospecção
Inteligência Artificial
Construção Civil.
Prospecting
Artificial Intelligence
Building Construction.
url https://periodicos.ufba.br/index.php/nit/article/view/32975