Contents
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8.Conclusion and Call to Action
Revision History and control
Rev | Date | Author | Description | Reviewed | Approved by |
V03 | 24 May 2021 | Massimo Banzi (TI) Beth Cohen (Verizon) Steve Casey (Verizon) | Definition sections, survey analysis | EUAG Team | Uploaded |
V01 | 15Apr2021 | Beth Cohen (Verizon) | Creation of original document and outline of paper. | EUAG Team | |
V02 | 13May2021 | Beth Cohen (Verizon) | Outline with some text. Asking for input from the EUAG Team | EUAG Team |
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- Based on the findings of a LFN sponsored survey of over 60 operators and vendors in the telecom segment, demonstrate the current state of adoption of the AI/ML technology for operators.
- Make recommendations for where Open Source communities should be focusing their resources to further the intelligent networking efforts.
- Call to action: Market and executive orientation. Purpose is to get people excited about Intelligent Networking as emerging technology and its importance, yet have an understanding of where the gaps are in both the technology and its adoption.. Bullet list of gaps. 2-3 bullet items. Identify missing Open-Source tools and potential projects.
Survey - AI/ML Survey (Result & Analysis)
@Yuhan Zhang Beth Cohen
Table for contributors to white paper and status
Contributors/CSPs | Sections | Status | Comments |
|---|---|---|---|
(Verizon) | Section 1-9 | Create first draft | |
Yuhan Zhang (China Mobile) | Section 1-9 | ||
(China Mobile) | Section 1-9 | Created workspace in confluence page | |
(STC) | TBA | ||
| TBA | TBA |
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