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Emerging technology trends : Artificial intelligence and big data for development 4.0 / authors, Dr Mirjana Stankovic, Aminata Amadou Garba, Nikola Neftenov ; International Telecommunication Union Development Sector

By: Contributor(s): Publication details: Geneva : ITU Publications, 2021Description: 108 p. : gráf. ; 1 documento PDFContent type:
  • texto (visual)
Media type:
  • electrónico
Carrier type:
  • recurso en línea
ISBN:
  • 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)
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Abstract: 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.
List(s) this item appears in: Economía del dato e IA
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Informes CDO Colección digital Acceso libre online pdf 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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