From the course: Machine Learning in Telecommunication: From Basics to Real-World Cases
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Benefits of ML in telecom
From the course: Machine Learning in Telecommunication: From Basics to Real-World Cases
Benefits of ML in telecom
(soothing music) - [Instructor] Ever wonder how your mobile network just knows what to fix before anything even breaks? That's the power of machine learning in action. It helps to make networks faster, smarter, and more reliable. There are real world benefits of machine learning in telecom, such as smarter performance optimization. One of the biggest users of machine learning in telecom is to optimize network performance automatically and in real time. For example, machine can study past traffic data to predict where the usage will spike. Let's say a tower in the center of a city sees a 10% increase in users or traffic every year. The system can predict that this trend will continue and recommend adding capacity so that the traffic stays strong and fast. This means telecom providers can allocate resources more efficiently, avoiding any slowdown before they happen. Another use case could be the predictive maintenance, where machine learning can help prevent the drop calls or outages…
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