Cisco's AI-powered Radio Resource Management (AI-RRM) replaces traditional reactive, snapshot-based RRM with a trend-aware system that learns network behavioral patterns over time. Instead of making disruptive changes during peak hours, it optimizes during low-traffic windows. The system runs six simultaneous algorithms covering channel selection, power management, bandwidth optimization, and radio role assignment, with per-radio granularity. It operates as a unified service across both Catalyst Center (on-premises) and Meraki (cloud), and includes human-in-the-loop features like RF Simulator and AI-RRM Insights so administrators can preview changes before applying them. Customers reportedly see measurable throughput improvements within 24 hours of enabling the feature, with peak gains up to 10x over traditional RRM baselines.
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Wi-Fi used to be “best effort.” That era is over.Optimizing with traditional RRMChallenge 1: This service cannot go down—everChallenge 2: Building one service that works everywhereChallenge 3: RF context is not optional—it is everythingChallenge 4: How do you avoid making things worse?Trend-based optimization: Learning before actingA single-service architecture across cloud and on-premisesWhat customers get with CiscoBefore and after enabling AI-RRMAI-based actionable recommendationsSimulated RF changesTransparency as a trust mechanismBeyond RRM: The broader AI-driven operations visionLearn more about Cisco AI-RRM .Sort: