AI/ML opportunities in telecom: RAN, core, transport, OSS/BSS

AI/ML Across the Telecom Stack

Artificial intelligence and machine learning are transforming every layer of the telecom network. In the RAN domain, AI/ML enables intelligent beam management, traffic steering, and energy-saving decisions at timescales impossible for human operators. Core network intelligence applies ML to slice assurance, NF scaling, and signaling anomaly detection. Transport networks benefit from AI-driven path optimization and predictive failure detection across fiber and microwave links. The O-RAN Alliance has formalized AI/ML integration through its RIC architecture with near-RT and non-RT control loops.