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
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.