Page 47 - AI Ready – Analysis Towards a Standardized Readiness Framework

AI Ready – Analysis Towards a Standardized Readiness Framework

[91] Taisu, large-scale Chinese multimodal dataset, https:// github .com/ ksOAn6g5/ TaiSu

[92] Noah Wukong, large-scale multi-modality Chinese dataset, Noah-Wukong Dataset
(wukong-dataset.github.io)

[93] Tata Elxsi, Easing Operations using ML/AI solution for 6G and beyond Network Orchestration
and Secure Network Operations, available from ITU AI for Good-Innovate for Impact, Final
Report 2024, https:// www .itu .int/ net/ epub/ TSB/ 2024 -AI -for -Good -Innovate -for -Impact -final
-report/ index .html #p = 1

[94] ITU FG AI4A, Technical Report – Use cases for AI and IoT for Digital Agriculture. https://
www .itu .int/ en/ ITU -T/ focusgroups/ ai4a/ Documents/ Deliverables/ FGAI4A -05 .pdf\

[95] ITU SG 20, SG20: Internet of things (IoT) and smart cities and communities (SC&C) (itu.int)

[96] ITU Focus Group on "Artificial Intelligence (AI) and Internet of Things (IoT) for Digital
Agriculture" (FG-AI4A), https:// www .itu .int/ en/ ITU -T/ focusgroups/ ai4a/ Pages/ default .aspx

[97] ITU-R Recommendation M.2160, “Framework and overall objectives of the future
development of IMT for 2030 and beyond” https:// www .itu .int/ rec/ R -REC -M .2160/ en

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