Recommendation ITU-T Y.3607 describes a functional architecture for big data provenance (BDP). To provide the functional architecture for big data…
ITU International Telecommunication Union
Recommendation Y.3654 (02/22)
Big data driven networking – Machine learning mechanism
Recommendation ITU-T Y.3654 specifies the mechanisms of machine learning in big data driven networking (bDDN). A set of related aspects…
Report BT.2447-2 (11/2021)
Artificial intelligence systems for programme production and exchange
New broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow. These technologies are intended to…
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…
Recommendation F.746.10 (08/20)
Architecture for a spontaneous dialogue processing system for language learning
This Recommendation describes the architecture, functional entities, and interfaces for a spontaneous dialogue processing system for language learning. © ITU…
This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…
