[ih] Fwd: [ainetops] [OPSAREA at IETF126] IRTF/IETF OPS Transfer: Status & Exploring Collaboration Opportunities
Greg Skinner
gregskinner0 at icloud.com
Wed Jun 24 20:49:39 PDT 2026
The AIOPS related work mentioned in the forwarded message is a link to a GitHub page containing links to current and recent IETF and IRTF AI-related activities. There is even a link to a LISP draft about assigning endpoint-IDs to AI agents. :)
--gregbo
> Begin forwarded message:
>
> From: Qin Wu <bill.wu at huawei.com>
> Subject: [ainetops] Re: [OPSAREA at IETF126] IRTF/IETF OPS Transfer: Status & Exploring Collaboration Opportunities
> Date: June 9, 2026 at 7:40:43 PM PDT
> To: "Thomas.Graf at swisscom.com" <Thomas.Graf at swisscom.com>, "nmop at ietf.org" <nmop at ietf.org>, "nmrg at irtf.org" <nmrg at irtf.org>, "ainetops at ietf.org" <ainetops at ietf.org>
> Cc: "mohamed.boucadair at orange.com" <mohamed.boucadair at orange.com>, "nmrg-chairs at ietf.org" <nmrg-chairs at ietf.org>, "nmop-chairs at ietf.org" <nmop-chairs at ietf.org>, "daniel at olddog.co.uk" <daniel at olddog.co.uk>
>
> Thomas:
> We see NMRG has invested a lot in Intent, Data, AI in the past and engage with many other SDO/industrial consortium, plan workshops to drive these work. AI are key topics now common to both NMOP and NMRG. Traditional boundary between NMRG and NMOP is that one focuses on protocol and data model while the other focus on architecture and use cases, one focuses on traditional AI while the other looks into the expansion of traditional AI, covering AI for network in the long term evolution.
>
> Yes, many AIOPS related work (https://github.com/IETF-OPS-AD/AINETOPS) has been distributed in various different places, driven by individual, lack a good coordination, but we do have ainetops mailing list ainetops at ietf.org <mailto:ainetops at ietf.org> for AI technologies discussion and coordination, Dan and I recently made update to
> https://github.com/IETF-OPS-AD/AINETOPS, to track each AI work and classify them into several categories such as
> o Network Operations
> o LLM/AI Benchmarking
> o Discovery&Naming
> o Observability,Intervention and Control
> o Security
> o Transport
> we hope everybody can make good use of this AI coordination mailing list to find home for their work, find people who can work together, or get more input and feedback on their cross area topics from specific area experts in the community.
>
> Regarding encouraging more exchange between NMRG and NMOP communities, since both Group request 2 sessions in each IETF meeting, I am wondering whether a joint meeting can be planned to make good use of time for both group members.
>
> Regarding knowledge graph/ontologies, I have been aware that ontologies has gained rapid industry traction becos it connects fragmented data silos and provides Contextual Grounding, Deterministic Reasoning, drive intent-based automation, I know NMOP has drive knowledge graph discussion for a long time with various different challenges. It will be great to see NMRG and NMOP work together in this problem space with moreopen source, implementation, running code.
>
> In addition, we see little attention being paid to the impact that the introduction of AI may impose on YANG modelling, traditional management protocol, the big challenge introduced by AI is non-deterministic behavior exhibiting by AI or Agentic AI, the question to NMOP WG is are you ready to embrace AI and tackle those challenges? Or these topics should be cooked in various different side meeting first.
>
> -Qin
>
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