ARTIFICIAL INTELLIGENCE AND THE TELECOMMUNICATION – How are things going so far?

The telecommunication industry is now a center of technological advancements — no doubt about it. However, the time when this business was limited to telephones and internet services – is long gone. Nowadays, the main focus is on Artificial Intelligence. 

It has been a decade now since AI has taken over telco, successfully replacing the traditional and complicated ways with new algorithms. As a result, the development of analyzing and processing colossal amounts of data collected from multiple consumer bases through computer vision techniques is much faster and more efficient.

For all the right reasons, AI is becoming integral to the future digital marketplace.

Adoption of AI in the telecommunication industry 

The impact of AI on the telecom industry enabled enterprises to deliver enhanced customer experience and boost business value. In addition, this new technological advancement allows CSPs to manage, maintain and optimize infrastructure while supporting all other operations.

Thanks to AI, telecommunication companies are making the most of the unlimited data collected over the years from extensive customer bases – mostly coming from:

• Devices
• Mobile apps
• Networks
• Geo-location
• Service usage
• Detailed customer profiles
• Billing information

By analyzing and processing the massive volumes of Big Data – telco organizations can obtain some somewhat actionable insights, providing better customer experiences, improved operations, and increased revenue while building new services and products.

Implementing AI

Let’s see where AI can be implemented within the telco industry.

First on the list is Network Optimization.

As we mentioned, AI is of the utmost importance regarding CSPs and their creation of self-optimizing networks (SONS). Thanks to AI and its ability to automatically optimize network quality based on regional and time zone traffic information by using advanced algorithms to find patterns within the data, predicting and detecting network patterns and anti-patterns.

AI for Predictive Maintenance

Once AI is adopted and implemented through its ability of predictive analytics over existing historical information, telcos will be capable of anticipating future trends, including failures, and taking preventive actions.

Robotic Process Automation (RPA) for Telecoms

RPA is a business process automation technology. It is a direct result of AI. Its role is to enhance the efficiency and reliability of telecom functions with legacy software that replaces human labor, allowing people to manage their back offices more efficiently.

Virtual Assistants for Customer Support

These conversational AI platforms, using virtual assistants, have cut down business expenses by as much as $8 billion in 2022 only!

Today, many telecom companies invest routinely in cognitive technologies. The goal is to increase efficiency and stability in the market. However, technological advancement also brings challenges that must be solved as AI grows.

To stay on top of the game, each telecom organization must remain competitive, keeping up with the technology, front-runners, and challenges on this exciting road to the future.