Machine learning is present in every industry and they are increasing the growth graphs. Machine learning is booming telecom industry. Telecom industry has become highly competitive than before and is riding high on the waves of the tech revolution and digital transformation. Globalization and technology have rather pushed the industry to perform better not just in the market but in customer services.
The communication network and network structure are extremely complex in the telecom industry. It demands regular maintenance to be on par with customer services and functioning. Telecoms have ever-growing data but their primary concern is slow processing of information. But, with machine learning, telecoms can analyze complex and huge data while delivering accurate results at a faster rate.
Machine learning has not only automated the process but reduces the time consumption and complexity. Telecoms are not far behind such big tech companies as Amazon, Google or Microsoft and could use the 5G transition as an opportunity to cut the distance. Telecoms are creating an ecosystem for the data-driven economy and play an essential role through connectivity and network perspectives. There are many machine learning companies in telecom industry. Some benefits of machine learning in the telecom industry:
- Improving the business margins
Communication service providers are shifting their focus from revenue growth to margin improvement and protection, and as this shift occurs, they must not look at corporate margins but also for the customer-related. The customer data is spread amongst a various data services, and hence this presented a challenge to all the customer service providers. With machine learning, telecoms can leverage historical and present data of the customers, purchase patterns and social links. They can combine it with data from BSS, OSS and ERP Systems to create high-granular insights and multi-dimensional into potential customer margins. Mobile learning algorithms can be used for various tasks like recommending ways and making individual action plans to optimize margins with greater customer satisfaction.
- Maintaining mobile tower functions
Mobile tower maintenance is a challenging task for communication service providers as they require periodic on-site inspections to check the entire infrastructure and equipment such as power generators and air conditioner are running properly. To solve these problems, a Communication service provider uses artificial intelligence-empowered video and image analysis with a surveillance camera at towers. Machine learning in combination with IoT Sensors at the towers could analyze the data and combine it with surveillance camera data for 360-degree continuous monitoring and alerts. This data is useful in workforce deploying systems to find out when materials, spare parts, inspection or maintenance is necessary
- Delivering better customer service
Mobile learning and artificial intelligence provide better 24/7 interaction and resolution through customer service. By deploying a 24/7 chatbot, customers can receive quick responses and resolution to many issues with the help of a ticketing system having machine learning technology. Mobile learning algorithms can identify faults with the context of server ticket data, historical information and network log. The chatbot detects and identifies solutions for resolving customer queries and connectivity issues.
Machine learning in telecom finds a way in various functions of work like business process, network automation and new digital services. This, in turn, helps to improve the quality of functions and build new business models.