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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?
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YES (we don't want to maintain multiple systems) NO (Managed by different silos) |
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