Sponsors: Kaggle, IBM
Technology: Kubeflow, Kubernetes, Docker, Python, Tensorflow, AutoML, XGBoost, catboost, lightgm, ensembling
Source Code: GitHub
Telecommunication services are an essential service in today’s digital era. All major services rely on telecommunication. There is a need for telecom providers to ensure their services are always up and running without any disruptions. The use of ML and AI have enabled telecom providers to improve their operational capabilities. This improvement provides better solutions and delivery of services that ensure customer demands are satisfied while maintaining superior customer service.
Mobile networks uptime is an essential service in today’s time. With the use of ML based tools, telecom operators can now monitor network performance, predict traffic patterns, and identify when and where additional bandwidth needs to be added by zone. This helps telco companies to proactively optimize its network performance.