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The Wireless Broadband Alliance urges standardized AI and ML integration in Wi-Fi networks to boost performance, security, and scalability for modern workloads.
The Wireless Broadband Alliance has released guidance urging standardized AI and machine learning integration in Wi-Fi networks to improve performance, security, and scalability.
The report, led by Intel with contributions from Cisco, HPE, and Airties, emphasizes that traditional Wi-Fi management is inadequate for modern demands like AI workloads and hybrid work.
It calls for interoperable frameworks, shared data models, APIs, and federated learning to prevent fragmentation and enable intelligent, self-optimizing networks across devices, access points, edge, and cloud systems.
Future Wi-Fi 8 features like DBE and MAPC are expected to benefit most from AI/ML.
The WBA plans to share findings with standards bodies in March 2026 to shape industry-wide practices.
La Wireless Broadband Alliance insta a la integración estandarizada de AI y ML en redes Wi-Fi para aumentar el rendimiento, la seguridad y la escalabilidad para cargas de trabajo modernas.