Leveraging machine learning in the telecommunications sphere

Posted by Lee McFarland on Jul 30, 2019 9:45:55 AM
Just like in every industry, machine learning (ML) is transforming the telecommunications sector. With innovation dominating the digital world, any telecom company that seeks to remain competitive in the industry should consider adopting the opportunities presented by ML.
The proliferation of new ML ideas and tools has transformed telecommunication in ways that have not only boosted their revenues but also enhanced the relationship with customers. Let's take a look at some of the potential benefits for telecom companies from leveraging ML technologies: 

Faster data analysis

Telecom firms have long faced the difficulty of analysing large volumes of data using the slow traditional processes. But with the advent of AI, they can now analyse large and complex data in a faster, more effective and more accurate manner. With organisations like Aqovia and its A1 Intelligence Platform, telecom firms can now analyse data in a short time at lower costs. 

Building new business models

As ML continues to play a significant role in digital transformation, telecom firms are taking advantage of their ability to improve operations. It is currently common practice for companies to use strongly embedded ML tools in enhancing the customer experience, automating networks and improving business process. 

Reduced costs of operation

ML has optimised most telecom operations which have, in turn, enhanced the experience of customers. Reduced friction has made it possible for ML-reliant businesses to scale higher margins and subsequently increase their profits. ML can be deployed in various ways, especially through automation, to improve customer experience. It is already being used in areas that require instant responses such as customer chatbot and service ticketing.

Optimised operations at mobile towers

Communication service providers (CSPs) normally face challenges in the maintenance of their mobile towers. While many applications of artificial intelligence (AI) are applied in surveillance of these towers, ML could become indispensable in this particular area. ML algorithms can be combined with data from surveillance cameras for continuous monitoring while relaying alerts. The application could save time due to an integrated system that reduces inspections and unnecessary downtime. 

Telecoms companies have a lot to gain from implementing current machine learning technologies and investing in the latest innovations. ML and other AI applications are undoubtedly going to form crucial components of digital transformation going forward as they look set to improve efficiency in the sector and drive growth and competition. Clearly, ML is going to become a game-changer that cannot be wished away by CSPs, so to find out more about incorporating machine learning into your growth strategy, CONTACT Aqovia today.


Topics: Artificial Intelligence, AI, Technology, Digitalisation, Digital Trends, Transformation