This survey is to help Anuket-Thoth to Stay 'relevant' to Telco's Needs

Are you familiar with the AI/ML works (solution and systems) present in your organization?

MOTORS: MOdels - TOols - ResearchStudies

What is more valuable to Telcos?

Dataset

If we generate dataset in testbeds (Openstack/Kubernetes + Chaos Tools such as litmus + OSS TrafficGens) and use it to train the ML-Models (ex: failure prediction, anomaly detection, etc), how relevant these models will be useful for production networks of Telcos? 

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 ML-models we develop (related to Telco Clouds) should work in these frameworks (of legacy systems) ?

Models: Importance of AI/ML Problems related to NFV

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

Please add any other comments you would like to share