AI for Adaptive Networks

Source summary

Network managers at static and mobile headquarters need continuously adaptive network planning, management, security and resource allocation. The source requires a secure, high-bandwidth, low-latency base; privacy, encryption and regulatory controls; and backup and disaster recovery. It proposes first assessing infrastructure and risk, then selecting and tuning use-case-specific machine-learning models with simulations or historical data, continuous monitoring, feedback and regular updates. Intended uses include fault prediction, traffic and QoS optimisation, resource allocation, expansion planning, data-loss prevention and security visualisation.