Intelligent Operations in Telecom through AI

By CIOReview | Thursday, March 1, 2018

Artificial Intelligence (AI) is playing a critical role in integrating the various technologies and automating the networks smoothly. The move toward an intelligent world has spread and been promoted through several key stakeholders such as AI and machine learning (ML)—effectively redefining the technology as we know. Making life easier for everyone, both these technologies combine to form the basis of numerous intelligent technologies. Some of these developments that have substantially increased the usage of Telecom networks are smart homes, smart buildings, self-driving cars, and smart cities. With this wave toward a smarter everything, Telco operators must implement the latest technologies to get the most out of the smart revolution.

Telecom operators should follow a model that consists of the following features:

Automatic: Every Telco company must go through the transition to a model-driven approach from an order-driven approach.

Adaptive: Telco operators must move to closed-loop from open-loop by leveraging deep analysis to the fullest.

Autonomous: The Telco industry should also implement self-learning that can help them in moving toward a phase of enhanced self-learning and implementation from a static policy.

AI and ML will also help telecom operators in subscriber profiling and analyzing offer conversion rates, content usage trends and network activity. The global telecom players are now feeding this AI and video revolution through various smart initiatives. This will involve intelligence in every stage of operations, maintenance, and service provisioning. Hence, this AI and ML-powered intelligence will eventually ensure intelligent operations as the new norm in the future.