7 Real-Life Use Cases of Ai in the Telecom Industry

Let’s examine the main potential areas of interest for telecom companies in AI. Some of the most promising applications of ai are listed here.
7 Real-Life Use Cases of Ai in the Telecom Industry

It is no longer a question of whether the rapid development of AI will affect or even disrupt the majority of the industry. Additionally, the telecom sector is not an exception. According to Markets & Markets, the worldwide artificial intelligence market in the telecommunications sector will reach a startling $2.5 billion by 2022.

Unexpectedly, the emergence of AI, Data Science, and Machine Learning will enable telecom firms to operate better, make investments, and generate additional revenue. By examining market niches they haven’t previously, telecom operators will be able to develop new revenue sources for themselves.

Let’s examine the main potential areas of interest for telecom companies in AI. Some of the most promising applications of artificial intelligence and data science in telecommunications include fraud detection, customer experience improvement, and optimizing mobile tower operations.

Use Cases of Ai

1. AI-enhanced mobile tower operation optimization

One of the biggest challenges telecom providers confront is the routine maintenance of mobile towers. To make sure that all of the machinery and equipment in these towers are operating properly, on-site inspections are necessary. This is expensive both financially and in terms of the amount of management needed.

Companies can utilize AI-powered robots and video cameras at mobile towers in situations like these. AI can also assist in providing real-time alerts to operators in the event of hazards or other catastrophes like fire, smoke, storm, etc.

IoT sensors can be used at mobile towers by telecommunications companies. To evaluate massive data, these IoT devices employ numerous machine learning methods.

2. Improving Client Services

Telecommunications firms can automate customer service more easily and give clients a more tailored experience thanks to artificial intelligence. Everyone is aware that the “Customer is King.” Therefore, telecom businesses can keep their clients by providing superior customer care services.

It’s difficult to manage clients and handle every issue individually. To address consumer complaints, a sizable crew is needed around the clock. Particularly, the recent epidemic has demonstrated the significance of automating customer service jobs. The benefits of artificial intelligence are then put to use in this situation.

Executives from the telecom, tech, and media sectors confirmed a considerable investment in creating cognitive technologies based on AI, with 40% reporting “strong” benefits, according to a Deloitte survey. A third of them (24%) stated that they anticipate cognitive computing “significantly transforming” their businesses.

It is a platform that enables you to offer help around the clock. AI-powered chatbots, which are transforming customer service in virtually every business, are one notable example.

3. Making Decisions Based on Data

Employees find it exhausting to quickly examine data when they have a lot of information in their possession. AI is helpful in this situation. Making informed judgments using data is made easier for telecom business leaders by implementing AI.

To understand necessary data and find hidden patterns in the data, AI-based data analytic systems can sift through vast amounts of data. This promotes intelligent products.

4. Detection of Fraud

AI makes it simpler to design algorithms that can recognize and respond to fraudulent network activity.

The numerous fraudulent practices carried out by well-known telecom corporations, including false profiling, unauthorized network access, and others, are reduced by machine learning algorithms. By examining the data, the computer learns to distinguish between incorrect and legitimate patterns and identifies abnormalities.

These developments enable the system to identify anomalies as they happen in real-time. This is a lot more effective than using human analysts.

5. Establishing a Robust Network Architecture

For telecom operators, artificial intelligence facilitates network infrastructure optimization and upgrading. In order to provide ongoing services with a third-party director, AI and machine learning assess the data and make the necessary modifications.

This enables operators to build self-organizing networks, or SONs—networks that can self-configure and self-correct any errors.

6. Increased Revenue Production

Every business prioritizes maximizing revenue growth by reducing supplemental operating expenses. There is no exception for telecommunications firms. Organizing the data and putting it to use for generating revenue is a difficult and time-consuming operation when operating in a sector with vast amounts of data.

However, the handling of Big Data has gotten far simpler in the telecommunications sector because of artificial intelligence and machine learning. Even today’s CRM systems can be integrated with AI to enhance customer service.

Global company will inevitably undergo a digital transformation as it adapts to the shifting needs and tastes of society. Modern consumers are the primary force behind change; it is because of them that businesses adapt to the influence of new elements.

Therefore, telecom operators evaluate and put into practice any technological advancements that allow them to offer managed IT services.

The telecom business is being impacted by artificial intelligence in many different ways. Telecom networks can now analyze massive volumes of data and provide their consumers with uninterrupted services thanks to technologies like machine learning, data analytics, and the Internet of Things.

If you want to use artificial intelligence in your telecommunications company, Folio3 will be happy to help you strategize, analyze, and create AI-based solutions for your particular requirements.

Use Cases of Ai
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