5 benefits of integrating AI into the telecom industry

Artificial Intelligence is taking over the whole world and conquering every sector, providing new dimensions to different industries across the market and sector and accelerating the digital transformation.
Kazakhstan mobile network
One of such sectors that are actively being transformed by AI in the Telecom industry and with the introduction of 5G and its growing popularity, new doors have been opened for the telecom industry and it has also led to several new opportunities and possibilities that can be achieved with the help of AI.

For businesses that are looking to have a competitive advantage and edge over their competitors, are looking to adopt digitalization and making the transition towards making everything digital and the ultimate goal of such businesses is digital transformation. The Impact of the Telecom Sector on Digital Transformation is huge and with the rise of 5G, it has become even more significant and governments from all over the world have realized the importance and impact of 5G.

The applications for AI in the telecom sector are numerous. From lowering the costs by automating functions that usually require human interaction to the introduction of new revenue-generating services such as deployment of edge, open radio access networks (Open RAN), and cloud-native 5G cores, AI in the mobile network and telecom sector is expected to cause wonders. Here are some of the benefits of integrating AI & ML into the telecom sector:

  1. Cost-Reduction

The telecom industry is one of those sectors that produce massive amounts of data and this kind of data requires huge investment in the data management infrastructure. Presently, the major challenge for this sector is that the customer data is present at different places and different sources and manually managing the data and data sources is not only a time-consuming thing but also requires major investment. The telecom industry is trying its best to reduce operating costs and one of the ways by which it can be reduced significantly is by the introduction of AI and Machine Learning (ML) into the telecom sector by the management of the customer data will be much easier.

  1. Mobile Towers Optimization

Another hurdle faced by the telecom sector is the regular maintenance of the mobile towers. Not only do they require an on-site inspection to make sure that everything is sound but they also need to be inspected in case of natural calamities or any other disasters. However, with the help of AI, all of this can become much easier.

With the help of AI-Powered video cameras that can be deployed at mobile towers that will regularly inspect the towers and in case there is any fault or defect, they will inform the required authorities in the given times. In case of hazards, fire, smoke, or natural calamities, such cameras can also notify about the real-time situation so that the situation can be handled promptly.

IoT Sensors installation at mobile towers and implementation of Machine Learning Algorithm will make it easier to analyze all the data more efficiently.

  1. Data Management & Predictive Analysis

All the network providers have to deal with large amounts of data just as other companies have to deal with large amounts of data on the Internet such as WhatsApp dealing with WhatsApp Status of the users or Instagram dealing with Cool Photos and Videos of users. With the introduction of technologies such as AI and ML, the network providers will be able to analyze the data and derive better business insights from the analyzed data.

This data can include whether the customers like to text or call, at what time is the peak load in an area, do people use the mobile data to connect to the internet, etc. All of these things can be analyzed properly. The AI and ML Predictive Analysis will allow the network providers to make effective and efficient business decisions to bring in more revenue. These decisions can include price optimization, improving services as per the needs of the customers, product development, improving margins, etc.

  1. Improved Customer Service

As the saying goes, The Customer is The King and for every business offering the best customer service is an important strategy to make their customer happy and satisfied, however, providing quality and efficient customer service is very much difficult when done manually or in conventional ways and it might results in the customers not being provided with the services that they are being provided and a chance for the customers to switch to an alternative service provider, which is always bad for any business.

This is where AI comes into play and takes over the whole thing. In today’s digital world customers expect a lot and especially from customer service because they want their issues to be resolved as soon as possible and every time they connect with customer service, they demand personalized experiences. Here AI or Intelligent Virtual Assistants can enable efficient customer engagements and help the customers through personalized, intelligent conversations.

  1. Detecting Fraud

With the help of AI and Machine Learning, fraudulent activities that are happening actively in the telecom industry including fake profiles, illegal accesses, etc. With the introduction of AI and ML algorithms, the system will be able to automatically detect irregularities occurring in real-time without the need for human intervention. It is far more effective and easier than conventional methods of human analysis.


More like this

Ericsson posts 7% drop in sales to $5.7 bn in second-quarter

Ericsson, the leading telecom equipment maker, has revealed 7...

Mobile core network (MCN) market to drop 10% in 2024-2028

The mobile core network (MCN) market 5-year cumulative revenue...

India telecom equipment manufacturing sales reach $6 bn under PLI scheme

The telecom equipment manufacturing sector in India has surpassed...

Ericsson to record charge of $1.1 bn due to lower business in Vonage

Ericsson has revealed that it will record a non-cash...