Key AI Use Cases in the Telecom Industry

According to Markets & Markets, the telecommunications industry's global market for artificial intelligence would reach a whopping 2.5 billion dollars by 2022.

Fremont, CA: It is no longer debatable whether the fast emergence of AI will influence, or perhaps disrupt, most businesses. The telecommunications business is no different. According to Markets & Markets, the telecommunications industry's global market for artificial intelligence would reach a whopping 2.5 billion dollars by 2022.

Surprisingly, the emergence of AI, Data Science, and Machine Learning will enable Telecom firms to improve their performance, make more investments, and profit. Telecom providers will generate additional revenue streams by venturing into previously uncharted business segments.

Let's look at the biggest potential areas of interest for Telecom companies in the AI arena. Some of the most promising artificial intelligence applications, including data science in the telecommunications business, include optimizing mobile tower operations, detecting fraud, and improving customer experience.

• Enhancing Customer Services

Artificial intelligence makes it easy for telecom businesses to automate customer support and give clients a tailored experience. Telecom firms may retain clients by providing superior customer service.

Managing clients and manually resolving every question is a difficult task, and a large workforce must be available 24 hours in a day to answer client complaints. The current epidemic has demonstrated the need to automate operations like customer service, which is where the benefits of Artificial Intelligence come into play.

• Data-Driven Decision Making

It gets exhausting for employees to examine data in a short length of time when they have a large amount of data in their hands. It's when artificial intelligence comes in helpful, and AI implementation assists telecom executives in making successful data-driven choices.

AI-powered data analytic tools can sift through massive volumes of data to extract relevant information and uncover hidden patterns. It aids in the creation of intelligent products.

• Building a Stable Network Infrastructure

Telecom operators may upgrade and optimize their network architecture with the help of artificial intelligence. AI and machine learning evaluate data and make required modifications to provide continuous services in collaboration with a third-party director.

It enables operators to build self-organizing networks (SON) — networks that can self-configure and self-heal if they make a mistake.