Recommendation ITU-T M.3384 provides definitions, classifications, object selection and an automatic evaluating mechanism for the evaluation of the intelligence levels…
ITU International Telecommunication Union
This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…
Big data as a service (BDaaS) is a cloud service category that provides cloud service customers with capabilities to collect,…
Supplement 53 to ITU-T L-series Recommendations provides guidelines to policy-makers, technologists, innovators, environmentalists and other stakeholders from the technology industry,…
Recommendation ITU-T P.1402 introduces machine-learning techniques and their application for quality of service (QoS) and quality of experience (QoE) prediction…
This Recommendation specifies a functional framework for network service provisioning based on artificial intelligence (AI) in future networks, including international…
Recommendation ITU-T Y.3156 describes the requirements and functional roles of AI-assisted analysis in support of the lifecycle management and orchestration…
This Recommendation specifies a functional architecture of quality of service (QoS) assurance based on machine learning (ML) for the international…
Recommendation ITU-T Y.3183 provides a framework for machine learning-assisted network slicing management, leveraging vertical end users’ feedback on quality of…
Recommendation ITU-T Y.4471 defines a reference functional architecture of network-based driving assistance (NDA) for autonomous vehicles. It clarifies the concept…
This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…
