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Anilash Azeez presents the practical outcomes of HPE’s location-based services and infrastructure at Mobility Field Day 14, focusing on bridging the gap between networking and real-world business results. The presentation highlights a dual-persona approach that serves both the Juniper Mist and Aruba Central ecosystems, emphasizing user engagement, asset visibility, and IoT analytics. A primary focus is the elimination of costly overlay networks by integrating diverse technologies, including Wi-Fi, BLE, and Ultra-Wideband (UWB), directly into the access point hardware. This convergence allows various verticals, from hospitality to manufacturing, to leverage sub-meter accuracy for mission-critical asset tracking and employee safety without requiring additional cabling or proprietary infrastructure.
The technical core of the session dives into the capabilities of the AP47, which features an expansive array of radios including UWB, Zigbee, and dual BLE. Azeez details how UWB provides a significant leap in accuracy over traditional BLE, particularly in manufacturing environments where tracking material flow and automated guided vehicles (AGVs) directly impacts production volume. By embracing open standards like FIRA and OMLOX, HPE ensures interoperability across different vendors and mobile devices. Practical applications are shared, such as the San Diego Sheriff’s Department’s use of location data to drastically reduce the time required to sort through body camera footage by cross-referencing officer locations with reported incidents.
The final segment of the presentation introduces advanced analytics and visualization tools designed to improve operational efficiency. New dashboards for Eduroam and switch port utilization help organizations optimize their resources and reduce carbon footprints by identifying underused hardware. Azeez also showcases a new 3D live floor plan view that incorporates spatial intelligence, overlaying Service Level Expectations (SLEs) directly onto the map. This allows administrators to visually pinpoint areas with poor roaming or capacity and review before and after data to see how Marvis’s autonomous actions, such as channel or band changes, have improved the user experience over time.
Personnel: Anilash Azeez
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