Four Key AI Trends in the Telecom Sector

Catalina Joseph, Telecom Tech Outlook | Tuesday, March 02, 2021

AI solutions in the telecommunications sector use advanced algorithms to find patterns in the data, allowing them to identify and predict network anomalies, and enabling operators to solve issues before customers are negatively affected quickly.

FREMONT, CA: Communications service providers (CSPs) are faced with increased customer demands for improved quality services and better customer experience (CX). Companies are leveraging these opportunities by utilizing huge amounts of data gathered over the years from their vast customer base.

Telecoms are utilizing the power of AI to process and assess the vast amount of Big Data to obtain actionable insights to offer enhanced customer experiences, optimize operations, and maximize revenue via new products and services.

Here are four key AI trends in the telecom sector:

Predictive maintenance

AI-enabled predictive analytics provide better services by using data, sophisticated algorithms, and machine learning processes to forecast future results as per the historical data. This allows telecoms to use data-driven insights to track the state of equipment, forecast failure according to the patterns, and quickly solve issues with communications hardware like cell towers, power lines, data center servers, and set-top boxes in customers’ homes.

Network optimization

AI is vital for helping CSPs build self-optimizing networks (SONs), where operators can automatically improve network quality depending on traffic information by region and time zone. AI solutions in the telecommunications sector use advanced algorithms to find patterns in the data, allowing them to identify and predict network anomalies and enabling operators to solve issues before customers are negatively affected quickly.

Robotic process automation (RPA)

RPA brings higher efficiency to telecommunications functions by enabling easier management of their back-office activities and volumes of tedious and rule-based processes. By simplifying the deployment of complex, labor-intensive, and time-consuming processes, RPA relieves CSP staff for higher value-added work.

Virtual Assistants

Conversational AI platforms (virtual assistants) have become an emerging trend to help manage the number of support requests for installations, set-up, troubleshooting, and maintenance, which can often overburden customer support centers. With AI, telecoms can integrate self-service capabilities that instruct customers how to install and operate their devices.