Transforming networks, powering industrial innovation

AI and ML are transforming telecom, driving automation, energy efficiency, and innovation across industries from healthcare to smart farming

- BY TARUN CHHABRA

In today's rapidly evolving digital landscape, telecom networks are undergoing a profound transformation, with Artificial Intelligence (AI) emerging as a pivotal driver of innovation and efficiency. Telecom service providers possess a vast reservoir of data—an untapped resource with immense potential to become a strategic asset. By leveraging AI and Machine Learning (ML), these networks are poised to revolutionise their operations, from network design and deployment to optimisation, predictive maintenance, and energy efficiency enhancements tailored to dynamic traffic patterns.

Al also has the potential to elevate telecom networks to comprehensive platforms that will drive the next wave of technological innovation. Beyond networks, AI is also set to power advanced use cases, further unlocking value across sectors. A deeper exploration of these transformations reveals how AI is shaping the future of telecom and industrial applications.

NETWORK OPTIMISATION AND AUTOMATION

AI and ML are revolutionising network planning and driving automation by abstracting network complexities.

Network planning and optimisation: AI can process vast data to enhance network coverage, detect interference, and identify anomalies with unprecedented precision. This intelligent approach enables telecom providers to create more robust, efficient network architectures. According to a Nokia Bell Labs report, AI can boost productivity by 17% to 24% for network planning and optimisation.