Multi-agent collaboration can help CSPs to unlock autonomous network operations

In recent years, the use of traditional AI and generative AI (GenAI) to enhance network automation and orchestration has gained traction in the telecoms industry. Some of the most popular use cases for AI and GenAI include automating fault detection and predictive maintenance, customer service automation and energy efficiency management. Despite this progress, achieving end-to-end autonomous operations remains a significant challenge due to insufficient co-ordination of intelligence across networks, services and users. As a result, complex decision-making and problem-solving processes still rely heavily on human intervention.

Agentic AI is a promising solution to these challenges. This article explores how communications service providers (CSPs) can take advantage of AI agents' greater intelligence capabilities to enhance their network operations.