ITU-T Focus Groups
Focus Groups are an instrument created by ITU-T that follow
ITU-T A.7 to augment the Study Group work programme by providing an alternative working environment for the quick development of specifications in their chosen areas. Focus Groups are now widely used to address industry needs as they emerge, and when they are not covered within an existing Study Group. The key difference between Study Groups and Focus Groups is the freedom that the latter have to organize and finance themselves. Focus Groups can be created very quickly, are usually short-lived and can choose their own working methods, leadership, financing, and types of deliverables.
FG-CD
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ITU-T Focus Group on cost models for affordable data services (FG-CD)
(in operation since 2023-03)
FG-CD provides a collaborative platform for studying and exploring the various costing models for providing affordable data services and was established by ITU-T Study Group 3 at its meeting of 1-10 March 2023.
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FG-AI4A
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ITU-T Focus Group on Artificial Intelligence (AI) and Internet of Things (IoT) for Digital Agriculture (FG-AI4A)
(in operation since 2021-10)
ITU-T Focus Group on AI and IoT for Digital Agriculture (FG-AI4A) was established by ITU-T Study Group 20 on 21 October 2021. This Focus Group will work closely with FAO to address the challenges within the agricultural sector, examine existing standardization gaps, and conduct the preparatory work for best practices related to the use of AI and IoT in supporting data acquisition and handling, improving modeling based on agricultural and geospatial data, and delivering interventions related to the optimization of agricultural production processes.
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FG-AI4NDM
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ITU-T Focus Group on AI for Natural Disaster Management (FG-AI4NDM)
(in operation since 2020-12)
ITU-T Focus Group on AI for Natural Disaster Management (FG-AI4NDM) was established in December 2020, to explore the potential of AI in supporting data collection and handling, improving modelling across spatiotemporal scales, extracting complex patterns and gaining insights from a growing streams of geospatial data, to enhance the preparedness for (and response to) natural disasters. This FG seeks to build a community of stakeholders and experts to underscore the use of AI (in the context of data, modelling, and communication technologies) for natural disaster management and create a roadmap for AI activities in the context of natural disaster management.
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