network traffic forecasting

Explores how AI-driven network capacity planning uses telemetry and ML to forecast demand, right-size bandwidth, and prevent congestion. Covers anomaly detection, what-if simulations, and digital twins to guide upgrades, balance cost and QoS, and cut energy use. Shows how AIOps automates scaling across cloud, edge, and 5G, turning reactive planning into proactive, data-driven operations.