Topic Leader(s)
Topic Description
Beth Cohen Sridhar Rao60m Discussion of how to create a common data model to support AI/ML for Intelligent Networking
Topic Overview
Data standardization, shared data sets and models have been long-term challenges for the adoption of intelligent networking. A shared understanding of the data models themselves is a basic requirement. For example how jitter is defined can vary wildly across operators or even within a single operator. Even something as seemingly simple as a basic AI algorithm framework is a much need capability to advance the industry. Vendors and operators need to develop common AI models for data, through a mechanism for model and data sharing. An AI/ML and model sharing project would be a good way to promote industry collaboration, promote the sharing of data and models through the joint construction of intelligent networking scenarios.
The purpose of this session is to explore some options for creating the shared models.
https://aiforgood.itu.int/about/aiml-in-5g-challenge/
Wiki Page to capture the collaboration: Collaboration - ITU
- Take up relevant problems (NFV) and start creating models - 2 Problems.
- Initiate dialogue with TSC-Anuket, LFN and EUAG to be one of the Hosts for next round of challenge.
- Tentative dates: Kickstart (February).
- EUAG: Can consider Opendataset and define a novel problem.
Slides & Recording
- Live Interactive Session
Agenda
Awesome presentation
- Explore some options for creating the shared models.
- Should we leverage the https://aiforgood.itu.int/about/aiml-in-5g-challenge/ to get there faster
- Are there other open data sets beside the one that Orange has shared?