2025年新兴技术趋势报告：人工智能与大数据发展4.0

Emerging technology trends:Artificial intelligence and bigdata for development 4.0 Emerging technology trends:Artificial intelligence and bigdata for development 4.0 Acknowledgements Authors:Dr Mirjana Stankovic (Tambourine Innovation Ventures), Aminata Amadou Garba(International Telecommunication Union), Nikola Neftenov (Tambourine Innovation Ventures) © International Telecommunication Union, 2021 Some rights reserved. This publication is available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO;https:// creativecommons.org/ licenses/ by -nc -sa/ 3 .0/ igo). Under the terms of this licence, this publication may be copied, redistributed and adapted fornon-commercial purposes, provided it is appropriately cited, as indicated below. In any use of thispublication, there should be no suggestion that ITU endorses any specific organization, productsor services. The unauthorized use of the ITU names or logos is not permitted. Any adaptation ofthe publication must be licensed under the same or equivalent Creative Commons licence. Anytranslation thereof should add the following disclaimer to the suggested citation: “This translationwas not created by the International Telecommunication Union (ITU). ITU is not responsible forthe content or accuracy of this translation. The original English edition shall be the binding andauthentic edition.” Any mediation relating to disputes arising under the licence shall be conducted in accordancewith the mediation rules of the World Intellectual Property Organization (http:// www .wipo .int/amc/ en/ mediation/ rules). Suggested citation.Emerging technology trends 2021:Artificial intelligence and big data fordevelopment 4.0. Geneva: International Telecommunication Union, 2021. Licence: CC BY-NC-SA 3.0 IGO. Third-party materials.Anyone wishing to reuse material from this publication that is attributedto a third party, such as tables, figures or images, shall determine whether permission is neededfor such reuse and obtain permission from the copyright holder. The risk of claims resulting frominfringement of any third-party-owned component in the publication rests solely with the user. General disclaimers.The designations employed and the presentation of the material in thispublication do not imply the expression of any opinion whatsoever on the part of ITU concerning thelegal status of any country, territory, city or area or of its authorities, or concerning the delimitationof its frontiers or boundaries. The ideas and opinions expressed in this publication are those ofthe authors; they do not necessarily reflect those of ITU. The mention of specific companies,products or services does not imply that they are endorsed or recommended by ITU in preferenceto others of a similar nature that are not mentioned. Errors and omissions excepted; the namesof proprietary products are distinguished by initial capital letters. All reasonable precautionshave been taken by ITU to verify the information contained in this publication. However, thepublished material is being distributed without warranty of any kind, either expressed or implied.Responsibility for the interpretation and use of the material lies with the reader. In no event shallITU be liable for damages arising from its use. Please share your thoughts, corrections and suggestions for content additions with the authorsby e-mailing to Dr Mirjana Stankovic (mirjana@ tivinc .com; mirjana.stankovic@ fulbrightmail .org),Aminata Amadou Garba (aminata.amadou -garba@ itu .int) or Nikola Neftenov (nick@ tivinc .com;nick.neftenov@ gmail .com). 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) Foreword In today’s fast changing ICT environment, access to informationand data on emerging technologies is crucial in order foreveryone to benefit from them fully. Artificial intelligence and big data for development 4.0is thefirst report in the series: “Emerging technology trends”, whichwill be published annually. The series offers analysis of the latesttechnological advances in developing countries and aims toprompt rapid updates and information exchange. These annualreports will also serve as resources that Members can use tobuild capacity in emerging technologies and develop ICTecosystems. The use of big data as a key business tool continues to pick up pace, but big data analysis alsohas enormous potential as a motor for the attainment of the 17 Sustainable Development Goals,as the international community strives to ramp up efforts to deliver on the 2030 Agenda forSustainable Development in this final decade of action. The huge volumes of digital data now being generated by a vast and growing number ofplatforms and devices offer unprecedented opportunities to gain a better understanding ofcomplex interactions and receive real-time feedback on how well policy responses are working.New sources of