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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.
For more information about what LFN is doing in about Intelligent Networking:
The purpose of this session is to explore some options for creating the shared models.
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