Telecom and network-based services
ITU-T Y.4494
Reference architecture of collaborative decentralized machine learning for intelligent Internet of things services
ETSI GS ZSM 012 V 1.1.1
Zero-touch network and Service Management (ZSM) – Enablers for Artificial Intelligence-based Network and Service Automation
The work item will specify extensions and new capabilities (so-called ‘AI enablers’) for the ZSM framework reference architecture providing support…
ITU-T X Suppl. 37 (09/2022)
ITU-T X.1231 – Supplement on countering spam based on machine learning
Supplement 37 to Recommendation ITU-T X.1231 defines a technical framework for countering spam based on machine learning (ML). It may…
Recommendation ITU-T M.3383 introduces the requirements for log analysis in telecom management with artificial intelligence (AI) and includes a functional…
This document presents specific characteristics of industrial internet platforms (IIPs), including related security threats, context-specific security control objectives and security…
ITU-T M.3385
Intelligence levels evaluation framework of artificial intelligence enhanced telecom operation and management
Recommendation ITU-T M.3385 provides a detailed evaluation framework, evaluation rating method and automatic evaluating process for intelligence levels of systems…
ITU-T M.3384
Intelligence levels of artificial intelligence-enhanced telecom operation and management
Recommendation ITU-T M.3384 provides definitions, classifications, object selection and an automatic evaluating mechanism for the evaluation of the intelligence levels…
Recommendation ITU-T Y.3183 provides a framework for machine learning-assisted network slicing management, leveraging vertical end users’ feedback on quality of…
ITU-T L Suppl. 48 (07/2022)
Data centre energy saving: Application of artificial intelligence technology in improving energy efficiency of telecommunication room and data centre infrastructure
Telecommunication room and data centre (DC) infrastructure includes a large number of items of information and communication equipment. In order…
ITU-T Y.3181 (09/2022)
Architectural framework for machine learning sandbox in future networks including IMT-2020
Recommendation ITU-T Y.3181 provides an architectural framework for machine learning (ML) sandbox in future networks including IMT-2020. More precisely, it…
Compared with the traditional network, Recommendation ITU-T Y.3656 can provide better integration and more intelligent capabilities, such as the capabilities…
