Private 5G in the AI-Native Era: Smart Slicing at the Enterprise Edge

Edge AI is making waves. Enterprises and telcos are now embedding intelligence at the network edge, enabling millisecond decisioning for manufacturing, autonomous vehicles, real-time video analytics, and mission-critical IoT. Private and edge-enabled deployments are scaling fast, with suggestions of the global private mobile network customer base surpassing 1,846 customers in mid-2025, reflecting rapid adoption of campus and industrial networks. Market forecasts similarly predict a multi-billion-dollar expansion as enterprises combine private 5G, edge compute, and AI to cut latency, conserve bandwidth and meet data-sovereignty needs. 

This session examines the technical and commercial levers that make “zero-latency” possible: smart slicing for guaranteed QoS, distributed model inference at the edge, operator-enterprise partner models, and orchestration between edge nodes and centralised AI. We’ll contrast regional patterns and highlight concrete outcomes alongside common barriers to adoption.