AI is changing the way wireless networks are designed, validated, and managed. Tasks that traditionally required much manual effort, including interpreting floor plans, modelling building structures, positioning access points, and analysing RF coverage, can increasingly be automated. Find out how Hamina is enabling this new paradigm.
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At a 21,000-square-foot over-the-air validation facility, Intel uses robotic mobility systems, automated positioning, real-world office environments, and high-density client testing to evaluate how Wi-Fi performs under real deployment conditions.
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According to Airties, high QoE requires a fundamental change in how Wi-Fi products are developed, validated, deployed, and optimised. Rather than treating testing as a final step before product launch, service providers and equipment manufacturers need continuous, end-to-end validation that measures the actual experience delivered to users.
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As Wi-Fi evolves towards Wi-Fi 8, the wireless industry is facing a fundamental change in how devices must be designed, tested, and validated. Reliability under challenging RF conditions, application-level responsiveness, AI workloads, radio coexistence, and increasingly complex device architectures are creating new requirements for test and measurement.
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The wireless industry is moving from a focus on maximum throughput towards reliability, predictable performance, and intelligent network operation. At the WiFi NOW DVT Forum 2026, Joerg Koepp of Rohde & Schwarz explained why this evolution will fundamentally change how wireless products and networks must be tested and validated.
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AI can only troubleshoot Wi-Fi as well as the data it is fed. At the WiFi NOW DVT Forum 2026 in October 2026, Eric Camulli, Head of Customer Transformation at 7SIGNAL, showed how measurements from client devices and in-room sensors let AI agents find, fix and document Wi-Fi problems in about a minute.
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Enterprise Wi-Fi networks are becoming increasingly complex, but the teams responsible for managing them are not growing at the same rate. Wyebot explains why traditional infrastructure monitoring is no longer sufficient to assure a reliable user experience.
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At the WiFi NOW DVT Forum, Wi-Fi Alliance highlighted the need for more extensive real-world validation, improved testing methodologies, and AI-driven network management. The organisation also acknowledged lessons from Wi-Fi 7 that could help shape the development of Wi-Fi 8.
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At WiFi NOW’s DVT Forum Online, Konstantin Khitrik, CRO and co-founder of SIDOS, explained how simplified field measurements, remote troubleshooting, and AI-calibrated digital twins can help enterprises improve Wi-Fi service quality while reducing the cost & complexity of network validation.
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