"The AI/ML for Wi-Fi: Enabling scalable, intelligent Wi-Fi ecosystems report was developed by the WBA AI/ML for Wi-Fi Project Group, and led by Intel with Airties, Cisco and HPE. The founding viewpoint from the WBA is that traditional rule‑based management approaches for Wi‑Fi technology are no longer adequate as they are now asked to support increasingly support demanding applications such as enterprise collaboration, industrial automation, immersive media and AI workloads. The report outlines business benefits including lower operational costs, stronger reliability and security, and an improved user experience."
"The report shows how AI and ML are becoming foundational to Wi-Fi, enabling a shift from reactive troubleshooting to predictive, proactive and self-optimising network operations capable of managing dense deployments and real-time performance demands. In addition, it highlights how intelligent Wi-Fi has clear business value. AI/ML reduces operational costs (OpEx), improves reliability and security, and delivers a more consistent quality of experience (QoE)."
Traditional rule‑based management approaches for Wi‑Fi are no longer adequate as networks must support demanding applications such as enterprise collaboration, industrial automation, immersive media and AI workloads. AI and ML are becoming foundational to Wi‑Fi, enabling a shift from reactive troubleshooting to predictive, proactive and self‑optimising operations that manage dense deployments and real‑time performance demands. Intelligent Wi‑Fi combines client, access point, edge and cloud intelligence to optimise performance. AI/ML reduces operational costs, strengthens reliability and security, and delivers more consistent quality of experience. Data constraints, fragmentation, shared datasets, federated learning and governance require attention while standardisation should prioritise frameworks and interoperability for data models and telemetry.
Read at ComputerWeekly.com
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