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001 | 00006513 | ||
003 | ES-MaONT | ||
005 | 20211006062651.0 | ||
006 | a o d i | ||
007 | cr || |||m|n|| | ||
008 | 210507s2021 sz d o i|0| 0 eng d | ||
020 | _a978-92-61-32771-2 (Paper version) | ||
020 | _a978-92-61-32781-1 (Electronic version) | ||
020 | _a978-92-61-32791-0 (EPUB version) | ||
020 | _a978-92-61-32801-6 (Mobi version) | ||
040 | _aES-MaONT | ||
100 | 1 |
_94995 _aStankovic, Mirjana |
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245 | 1 | 0 |
_aEmerging technology trends _b: Artificial intelligence and big data for development 4.0 _c/ authors, Dr Mirjana Stankovic, Aminata Amadou Garba, Nikola Neftenov ; International Telecommunication Union Development Sector |
260 |
_aGeneva : _bITU Publications, _c2021 |
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_a108 p. : _bgráf. _c; 1 documento PDF |
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336 |
_atexto (visual) _2isbdcontent |
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337 |
_aelectrónico _2isbdmedia |
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_arecurso en línea _2rdacarrier |
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504 | _aBibliografía: p. 99-105 | ||
520 | 3 | _aDespite 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. | |
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_aSome 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) _b; ITU |
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650 | 0 |
_aTecnologías habilitadoras digitales _918 |
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650 | 4 |
_aInteligencia Artificial _94348 |
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653 | _aBig data | ||
653 | _acibersecurity | ||
653 | _adigital transformation | ||
653 | _apolicy and regulation | ||
700 | 1 |
_94996 _aGarba, Aminata Amadou |
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700 | 1 |
_94997 _aNeftenov, Nikola |
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710 | 2 |
_aUnión Internacional de Telecomunicaciones _91433 |
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856 | 4 | 0 |
_uhttps://www.itu.int/en/myitu/Publications/2021/05/04/12/23/Emerging-technology-trends-Artificial-intelligence-big-data-for-development-4%20/ _yAcceso al documento _x0 _qpdf |
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