Case Study: Leading Media Company achieves real-time Wi-Fi visibility and reduced OPEX with Mist AI

Mist Drives the New Wireless Network at Top Media Company

Leading Media Company operates about 150 shuttle buses serving over 5,000 commuters across the Bay Area, with more than 3,000 clients often connected to onboard Wi‑Fi each day. Facing limited visibility into the mobile user experience, their IT team needed better diagnostics and performance insight and engaged Mist AI’s learning WLAN (Mist cloud and Mist Access Points) to address the problem.

Mist AI deployed its cloud-driven learning WLAN with machine learning, dynamic packet capture (dPCAP), service-level thresholds, WxLAN policy controls and open APIs, enabling IT to “rewind” incidents, pinpoint root causes (for example, cellular backhaul vs. Wi‑Fi or device issues), and automate tasks. The Mist AI solution cut OPEX by removing the need for costly WLAN controllers, reduced troubleshooting time and costs (no on-site sniffers needed), and gave clear, measurable visibility into throughput, coverage, capacity and time‑to‑connect for the company’s 3,000+ concurrent users.