Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region

The objective of this work is to identify and understand the status of the Artificial Intelligence (AI) ecosystem in Ecuador, for which a methodology for measuring the status of AI applied to the leading countries in this area of the region is defined, pretending to reflect the situation of the Arti...

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Autore principale: Barragán-Martínez, Xavier (author)
Natura: article
Lingua:spa
Pubblicazione: 2023
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Accesso online:https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498
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author Barragán-Martínez, Xavier
author_facet Barragán-Martínez, Xavier
author_role author
collection Revista FIGEMPA: Investigación y Desarrollo
dc.creator.none.fl_str_mv Barragán-Martínez, Xavier
dc.date.none.fl_str_mv 2023-07-11
dc.format.none.fl_str_mv application/pdf
text/xml
application/zip
text/html
dc.identifier.none.fl_str_mv https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498
10.29166/revfig.v16i2.4498
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Facultad de Ingeniería en Geología, Minas, Petróleos y Ambiental - Universidad Central del Ecuador
dc.relation.none.fl_str_mv https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/5925
https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/6345
https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/6344
https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/7321
dc.rights.none.fl_str_mv Derechos de autor 2023 Xavier Barragán-Martínez
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv FIGEMPA: Investigación y Desarrollo; Vol. 16 No. 2 (2023): Futuro Sostenible; 23-38
FIGEMPA: Investigación y Desarrollo; Vol. 16 Núm. 2 (2023): Futuro Sostenible; 23-38
2602-8484
1390-7042
10.29166/revfig.v16i2
reponame:Revista FIGEMPA: Investigación y Desarrollo
instname:Universidad Central del Ecuador
instacron:UCE
dc.subject.none.fl_str_mv Ecosistema IA
metodología
Tortoise
indicadores
tecnología
situación actual
AI ecosystem
methodology
Tortoise
indicators
technology
current situation
dc.title.none.fl_str_mv Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
Situación de la Inteligencia Artificial en el Ecuador en relación con los países líderes de la región del Cono Sur
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description The objective of this work is to identify and understand the status of the Artificial Intelligence (AI) ecosystem in Ecuador, for which a methodology for measuring the status of AI applied to the leading countries in this area of the region is defined, pretending to reflect the situation of the Artificial Intelligence Ecosystem; therefore, the Tortoise AI Index methodology is taken as a reference, which defines three pillars of analysis; investment, innovation and implementation, which uses 143 indicators divided into seven sub-pillars: Talent, Infrastructure, Operating Environment, Research, Development, Government and Commercial Strategy. The proposal maintains the first five subpillars and uses a new one called Institutionality that integrates government and commercial strategies. The research subscribes to a descriptive, quantitative and analytical method of reviewing secondary sources and databases of organizations, companies, governments, among others. The findings show that there is a significant gap when comparing the AI ecosystem in Ecuador with the ecosystems of Argentina, Brazil, Chile, Colombia, and Uruguay; showing an incipient use, adoption of this technology and the lack of public policies that encourage the use of AI as a means of social, economic and environmental development.
eu_rights_str_mv openAccess
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id REVFIGEMPA_45262ab76cc8ec0ee82bf36652da2dc2
identifier_str_mv 10.29166/revfig.v16i2.4498
instacron_str UCE
institution UCE
instname_str Universidad Central del Ecuador
language spa
network_acronym_str REVFIGEMPA
network_name_str Revista FIGEMPA: Investigación y Desarrollo
oai_identifier_str oai:revistadigital.uce.edu.ec:article/4498
publishDate 2023
publisher.none.fl_str_mv Facultad de Ingeniería en Geología, Minas, Petróleos y Ambiental - Universidad Central del Ecuador
reponame_str Revista FIGEMPA: Investigación y Desarrollo
repository.mail.fl_str_mv *
repository.name.fl_str_mv Revista FIGEMPA: Investigación y Desarrollo - Universidad Central del Ecuador
repository_id_str 0
rights_invalid_str_mv Derechos de autor 2023 Xavier Barragán-Martínez
https://creativecommons.org/licenses/by/4.0/
spelling Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone regionSituación de la Inteligencia Artificial en el Ecuador en relación con los países líderes de la región del Cono SurBarragán-Martínez, XavierEcosistema IAmetodologíaTortoiseindicadorestecnologíasituación actualAI ecosystemmethodologyTortoiseindicatorstechnologycurrent situationThe objective of this work is to identify and understand the status of the Artificial Intelligence (AI) ecosystem in Ecuador, for which a methodology for measuring the status of AI applied to the leading countries in this area of the region is defined, pretending to reflect the situation of the Artificial Intelligence Ecosystem; therefore, the Tortoise AI Index methodology is taken as a reference, which defines three pillars of analysis; investment, innovation and implementation, which uses 143 indicators divided into seven sub-pillars: Talent, Infrastructure, Operating Environment, Research, Development, Government and Commercial Strategy. The proposal maintains the first five subpillars and uses a new one called Institutionality that integrates government and commercial strategies. The research subscribes to a descriptive, quantitative and analytical method of reviewing secondary sources and databases of organizations, companies, governments, among others. The findings show that there is a significant gap when comparing the AI ecosystem in Ecuador with the ecosystems of Argentina, Brazil, Chile, Colombia, and Uruguay; showing an incipient use, adoption of this technology and the lack of public policies that encourage the use of AI as a means of social, economic and environmental development.El objetivo de este trabajo es identificar y comprender el estado de situación del ecosistema de la Inteligencia Artificial (IA) del Ecuador, para lo que se define una metodología de medición del estado de la IA aplicado a los países líderes en este ámbito de la región, pretendiendo reflejar la situación del Ecosistema de Inteligencia Artificial; por lo que, se toma como referencia a la metodología del Índice de IA de Tortoise que define tres pilares de análisis; inversión, innovación e implementación, que utiliza 143 indicadores divididos en siete subpilares: Talento, Infraestructura, Entorno Operativo, Investigación, Desarrollo, Estrategia Gubernamental y Comercial. La propuesta mantiene los primeros cinco subpilares y utiliza uno nuevo denominado Institucionalidad que integra a las estrategias gubernamentales y comerciales. La investigación se suscribe en un método descriptivo, cuantitativo y analítico de revisión de fuentes secundarias y bases de datos de organismos, empresas, gobiernos, entre otras. Los hallazgos muestran que existe una brecha significativa al comparar al ecosistema de la IA en el Ecuador con los ecosistemas de Argentina, Brasil, Chile, Colombia, y Uruguay; mostrando un incipiente uso, adopción de esta tecnología y la falta de políticas públicas que fomenten el aprovechamiento de la IA como medio de desarrollo social, económico y ambiental.Facultad de Ingeniería en Geología, Minas, Petróleos y Ambiental - Universidad Central del Ecuador2023-07-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlapplication/ziptext/htmlhttps://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/449810.29166/revfig.v16i2.4498FIGEMPA: Investigación y Desarrollo; Vol. 16 No. 2 (2023): Futuro Sostenible; 23-38FIGEMPA: Investigación y Desarrollo; Vol. 16 Núm. 2 (2023): Futuro Sostenible; 23-382602-84841390-704210.29166/revfig.v16i2reponame:Revista FIGEMPA: Investigación y Desarrolloinstname:Universidad Central del Ecuadorinstacron:UCEspahttps://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/5925https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/6345https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/6344https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498/7321Derechos de autor 2023 Xavier Barragán-Martínezhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccess2024-01-19T14:18:26Zoai:revistadigital.uce.edu.ec:article/4498Portal de revistashttps://revistadigital.uce.edu.ec/Universidad públicahttps://uce.edu.ec/**Ecuador*602-84841390-7042opendoar:02024-01-19T14:18:26Revista FIGEMPA: Investigación y Desarrollo - Universidad Central del Ecuadorfalse
spellingShingle Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
Barragán-Martínez, Xavier
Ecosistema IA
metodología
Tortoise
indicadores
tecnología
situación actual
AI ecosystem
methodology
Tortoise
indicators
technology
current situation
status_str publishedVersion
title Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
title_full Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
title_fullStr Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
title_full_unstemmed Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
title_short Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
title_sort Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region
topic Ecosistema IA
metodología
Tortoise
indicadores
tecnología
situación actual
AI ecosystem
methodology
Tortoise
indicators
technology
current situation
url https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/4498