Contents
1.Key Takeaways
2.Overview
3.Problem Statement
4.Survey Says-Current State of the Industry
5. Intelligent Networking Challenges
6. Feasibility
7. Next Steps and Recommended Actions
8.Conclusion and Call to Action
9.Extra Text
Revision History and control
Rev | Date | Author | Description | Reviewed | Approved by |
V01 | 15Apr2021 | Beth Cohen (Verizon) | Creation of original document and outline of paper. | EUAG Team | Uploaded |
White Paper Assumptions and Overall Objectives:
- Audience: Technical and strategic leaders in the Telecom Industry interested in understanding the role of intelligent tools, AI and machine learning can have in support of their network infrastructure, customer .
- 7-10 Pages in length total – possibly will be some separate related papers on specific use cases and other information that does not fit into this one
- Do not declare or propose a definite solution just share EUAG Operator community point of view
- Purpose of White Paper is to share information about EUAG member companies’ approaches to network intelligence
Survey - AI/ML Survey (Result & Analysis)
@Yuhan Zhang Beth Cohen
Table for contributors to white paper and status
Contributors/CSPs | Sections | Status | Comments |
---|
| Section 1-9 | Create first draft |
|
Yuhan Zhang (China Mobile) | Section 1-9 |
| |
| Section 1-9 |
| Created workspace in confluence page |
| TBA |
| |
TBA | TBA |
|
|