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...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Institución: | Universidade Federal da Bahia (UFBA) |
| Repositorio: | Cadernos de Prospecção (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.periodicos.ufba.br:article/32975 |
| Acceso en línea: | https://periodicos.ufba.br/index.php/nit/article/view/32975 |
| Access Level: | acceso abierto |
| Palabra clave: | Prospecção Inteligência Artificial Construção Civil. Prospecting Artificial Intelligence Building Construction. |
| Sumario: | 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. |
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