AI and ML are critical for enabling autonomous, self-optimizing Wi-Fi networks capable of managing dense deployments and real-time performance demands. AI/ML reduces operational costs, improves reliability and security and delivers a more consistent quality of experience. Proprietary approaches, inconsistent data quality, and closed interfaces slow innovation and increase integration costs. Interoperable frameworks - not algorithms - will be key to success. Interoperability must include data models, telemetry, APIs, and model lifecycle management.
But here's what I learned after spending an embarrassing amount of time researching this: WIRED points out that "Your router pumps out a Wi-Fi signal in all directions, so the best place for it is in the middle of your home." When I moved my router from the corner of my living room to a more central location, the difference was immediate.