Title: LS on consent of draft new Recommendation ITU-T Y.3064 (formerly 
Y.KM-AN) “Knowledge management for autonomous networks”
Submission Date: 2025-12-18
URL of the IETF Web page: https://datatracker.ietf.org/liaison/2095/

To: Autonomic Networking Integrated Model and Approach (anima)
From: ITU-T SG 13
Purpose: For information


Email Addresses
---------------
From: [email protected]
To: Toerless Eckert <[email protected]>,Sheng Jiang <[email protected]>
Cc: Mahesh Jethanandani <[email protected]>,Scott Mansfield 
<[email protected]>,Autonomic Networking Integrated Model and 
Approach Discussion List <[email protected]>,Mohamed Boucadair 
<[email protected]>,Sheng Jiang <[email protected]>,Toerless 
Eckert <[email protected]>
Response Contacts: [email protected]
[email protected]
Technical Contacts: [email protected]


Body: ITU-T Study Group 13 would like to inform about the consent of draft new 
Recommendation ITU-T Y.3064 (ex Y.KM-AN) “Knowledge management for autonomous 
networks” at the ITU-T Study Group 13 plenary meeting, Tashkent, 6 November 
2025.

Draft new Recommendation ITU-T Y.3064 specifies knowledge management for 
autonomous networks. It expands on the Knowledge Base subsystem specified in 
[ITU-T Y.3061]. Knowledge management for autonomous networks involves 
leveraging heterogeneous data to acquire knowledge, and enables network 
autonomy through knowledge processing and knowledge lifecycle management. 

Draft new Recommendation ITU-T Y.3064 introduces a classification of knowledge, 
and specifies requirements of knowledge management in autonomous networks, 
knowledge management functional architecture, and sequence diagrams of 
knowledge management in autonomous networks. 

ITU-T SG13 looks forward to keeping collaboration and information exchange with 
you on this topic.
Attachments:

    Draft new Recommendation ITU-T Y.3064 (formerly Y.KM-AN)
    
https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2025-12-18-itu-t-sg-13-anima-ls-on-consent-of-draft-new-recommendation-itu-t-y3064-formerly-ykm-an-knowledge-management-for-autonomous-netw-attachment-1.pdf


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