Machine learning: The Next Big Thing in the Telecom Industry

Oct 19, 2017

telecom analytics metrics

As Charles Edward Jerningham once said, “Our predecessors endeavored to make men into machines; We are endeavoring to make machines into men.” Machine learning is one such technology that allows digital devices to learn without being programmed every time, using artificial intelligence. Machine learning is fast becoming a game-changer with a wide range of industries slowly adopting this technology – and the telecom industry is not far behind. Machine learning has various applications in the telecom industry, let’s take a look at a few here:

Identify and Restart Sleeping Cells

In the telecom industry, cell towers crashing could have a serious impact on the service being offered. One of the main applications of machine learning would be to identify these sleeping cells and restart them. Currently, this is done manually by telecom operators, which leads to increased downtime.

Track Potential Churners

Due to heated up competition in the market and increasing availability of deals, customer attrition has become a common occurrence. Many operators in the telecom industry have formulated simple pattern matching programme to identify potential churners, but these models do not guarantee accurate results. Machine learning algorithms are being developed to understand the reasons for customer churning, which helps companies to adapt accordingly.

To know more about machine learning in telecom industry speak to our experts now.

Facilitate Target Marketing

With a large database of user data, it becomes difficult for telecom companies to target their customers effectively. This gap can be overcome with the help of machine learning algorithms that help keep track of user data and behavior across the network and develop these to match a subscriber with the most appropriate service package.

Fraud Mitigation

Fraud and revenue issues are a major concern in the telecom industry. As a result, telecom companies are now employing machine learning tools to develop algorithms that automatically identify an activity as fraudulent. This technology may also help companies in the telecom industry to identify early signs associated with criminal behavior.

Identify Trends in Social Media

Social media has taken the world by storm. Therefore, it is important for companies in the telecom industry to mark their presence on social media platforms. However, since monitoring a large number of social posts have proven to be difficult for telecom companies, they have turned to machine learning to make things easier. This technology creates algorithms that help in analyzing brand coverage and customer preferences.

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