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?
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YES. |
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2
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NO. |
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0
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What is more valuable to Telcos?
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5. Very Important |
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1
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4. Important |
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3. Good to have |
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2. Not important |
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1. No value addition. |
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0
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Current Result: (1 Total Votes) |
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5. Very Important |
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1
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4. Important |
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0
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3. Good to have |
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2. Not important |
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0
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1. No value addition. |
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0
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Current Result: (1 Total Votes) |
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5. Very Important |
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1
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0
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3. Good to have |
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2. Not important |
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1. No value addition. |
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Your Vote |
Current Result: (1 Total Votes) |
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5. Very Important |
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1
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4. Important |
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3. Good to have |
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2. Not important |
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1. No value addition. |
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0
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Your Vote |
Current Result: (1 Total Votes) |
Comments |
5. Very Important |
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1
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4. Important |
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0
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3. Good to have |
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0
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, 0%
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2. Not important |
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0
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1. No value addition. |
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0
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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?Â
Choices |
Your Vote |
Current Result: (1 Total Votes) |
Comments |
Yes. Relevant |
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0
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No. It will not be. |
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0
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Why do it with testbed dataset when we (Telco) have access to production dataset? |
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1
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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) ?
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Your Vote |
Current Result: (1 Total Votes) |
Comments |
YES (we don't want to maintain multiple systems) |
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1
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NO (Managed by different silos) |
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0
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Please add any other problems you consider that is important here:
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3. Good to have |
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2. Not important |
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1. No value addition. |
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0
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3. Good to have |
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1. No value addition. |
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3. Good to have |
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2. Not important |
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1. No value addition. |
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