Topic Leader(s)
Topic Description
Excerpt |
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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.
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- 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?