MOTORS: Models - Tools - Research-Studies
What is more valuable to Telcos:
| Vote |
|---|
| changeableVotes | true |
|---|
| title | We build better ML-models to important problems |
|---|
| showComments | true |
|---|
|
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition. |
| Vote |
|---|
| changeableVotes | true |
|---|
| title | We optimize the existing model for important problems |
|---|
| showComments | true |
|---|
|
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition. |
| Vote |
|---|
| changeableVotes | true |
|---|
| title | We build tools that can help telcos to build ML-Models |
|---|
| showComments | true |
|---|
|
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition. |
| Vote |
|---|
| changeableVotes | true |
|---|
| title | We conduct research studies with thorough and systematic analysis |
|---|
| showComments | true |
|---|
|
5. Very Important
4. Important
3. Good to have
2. Not important
1. No value addition. |
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 ML-models we develop (related to Telco Clouds) should work in these frameworks (of legacy systems) ?
...