Emerging technology trends
: Artificial intelligence and big data for development 4.0Autor(es):
Stankovic, Mirjana
| Garba, Aminata Amadou | Neftenov, Nikola
Unión Internacional de Telecomunicaciones
Editor: Geneva : ITU Publications, 2021Descripción: 108 p. : gráf. ; 1 documento PDFTipo de contenido: texto (visual) Tipo de medio: electrónico
Tipo de soporte: recurso en líneaISBN: 978-92-61-32771-2 (Paper version) ; 978-92-61-32781-1 (Electronic version) ; 978-92-61-32791-0 (EPUB version) ; 978-92-61-32801-6 (Mobi version)Tema(s): Tecnologías habilitadoras digitales
| Inteligencia Artificial | Big data | cibersecurity | digital transformation | policy and regulationRecursos en línea: 
Acceso al documento Resumen: Despite its great promise, the AI and data revolution is yet to yield tangible dividends for most developing countries. More often than not, these countries do not have all the prerequisites in place in order to collect sufficient data to utilize AI algorithms for development. Furthermore, existing data too often remain unused because they are released too late or not at all, are not available in digital format or lack the level of granularity needed for decision-making and local innovation. This report has been designed to help overcome these barriers and embrace the huge development opportunities offered by AI and big data deployment. It is intended as a guide for policy-makers and other stakeholders in crafting a national AI and data strategy for development.
| Tipo de ítem | Ubicación actual | Colección | Signatura | Estado | Notas | Fecha de vencimiento | Código de barras |
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Informes
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CDO
El Centro de Documentación del Observatorio Nacional de las Telecomunicaciones y de la Sociedad de la Información (CDO) os da la bienvenida al catálogo bibliográfico sobre recursos digitales en las materias de Tecnologías de la Información y telecomunicaciones, Servicios públicos digitales, Administración Electrónica y Economía digital.
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Colección digital | Acceso libre online | 1000020176706 |
Bibliografía: p. 99-105
Despite its great promise, the AI and data revolution is yet to yield tangible dividends for most developing countries. More often than not, these countries do not have all the prerequisites in place in order to collect sufficient data to utilize AI algorithms for development. Furthermore, existing data too often remain unused because they are released too late or not at all, are not available in digital format or lack the level of granularity needed for decision-making and local innovation. This report has been designed to help overcome these barriers and embrace the huge development opportunities offered by AI and big data deployment. It is intended as a guide for policy-makers and other stakeholders in crafting a national AI and data strategy for development.
Some rights reserved. This work is licensed to the public through a Creative Commons Attribution-NonCommercial-Share Alike 3.0 IGO license (CC BY-NC-SA 3.0 IGO) ; ITU
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