Y.3172 is an ITU-T Recommendation specifying an architecture for machine learning in future networks including 5G (IMT-2020).

[1] The architecture describes a machine learning pipeline in the context of telecommunication networks that involves the training of machine learning models, and also the deployment using methods such as containers and orchestration.

Additionally, the standard describes the integration of such components into future networks including IMT-2020 as well as guidelines for applying this architectural framework in a variety of technology-specific underlying networks.

[3] The Recommendation Y.3173 builds upon Y.3172 by specifying a framework for evaluation intelligence levels of future networks.

[4] At the 2017 AI for Good summit the idea for a Focus Group on Machine Learning for 5G (FG-ML5G) arose, similar to the way the summit gave rise the ITU-WHO Focus Group on Artificial Intelligence for Health.