: Artificial intelligence and big data for development 4.0 Stankovic, Mirjana creator Garba, Aminata Amadou Neftenov, Nikola Unión Internacional de Telecomunicaciones text sz Geneva ITU Publications 2021 monographic eng pdf 108 p. : gráf. ; 1 documento PDF 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. / authors, Dr Mirjana Stankovic, Aminata Amadou Garba, Nikola Neftenov ; International Telecommunication Union Development Sector Bibliografía: p. 99-105 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 Tecnologías habilitadoras digitales Inteligencia Artificial Big data cibersecurity digital transformation policy and regulation 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) https://www.itu.int/en/myitu/Publications/2021/05/04/12/23/Emerging-technology-trends-Artificial-intelligence-big-data-for-development-4%20/ https://www.itu.int/en/myitu/Publications/2021/05/04/12/23/Emerging-technology-trends-Artificial-intelligence-big-data-for-development-4%20/ 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 ES-MaONT 210507 20211006062651.0 00006513