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Models/Frameworks

Telcos have (for past 15-20 yrs - maybe even more) AI/ML systems solving business problems (customer churns) and/or legacy Network management (failures prediction, anomaly detection, etc.).  Is it Important that the models we develop should work in these frameworks (of legacy systems) ?

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changeableVotestrue
titleIntegration with legacy AI/ML Systems
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YES (we don't want to maintain multiple systems)
NO (Managed by different silos)


Importance of AI/ML Problems related to NFV

Please add any other problems you consider that is important here:




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changeableVotestrue
titleImportance of Failure Prediction (VM)
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5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.



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changeableVotestrue
titleImportance of Failure Prediction (Containers)
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5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.



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changeableVotestrue
titleImportance of Failure Prediction (Links)
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5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.



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changeableVotestrue
titleImportance of Failure Prediction (Apps)
showCommentstrue
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.




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changeableVotestrue
titleImportance of Failure Prediction (Services - control/middleware/)
showCommentstrue
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.



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changeableVotestrue
titleImportance of Traffic Engineering (Ex: Reinforcement Learning)
showCommentstrue
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.



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changeableVotestrue
titleImportance of Other Predictions (resource utilization, attack, SLA-breach)
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5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.



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changeableVotestrue
titleImportance of Resource Optimization (scheduling, deployment scaling, migration, etc.)
showCommentstrue
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.


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changeableVotestrue
titleImportance of Anomaly Detection (metrics, logs, stats)
showCommentstrue
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.


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changeableVotestrue
titleImportance of Alert Filtering/classification - Finding Actionable Alerts
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5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.


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changeableVotestrue
titleImportance of Correlation - as part of causal analysis
showCommentstrue
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition.

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