Aruba, a Hewlett Packard Enterprise company, introduced innovations in artificial intelligence-powered analytics and assurance to optimise network performance for its Mobile First Architecture.
NetInsight uses machine learning to continuously monitor the network, deliver insights in the event of anomalies, and recommend ways to best optimise the network for today’s mobile-first employees and workplace-critical IoT devices, based on data specific to user connectivity and RF performance attributes.
Aruba customer, the University of Washington deployed over 12,000 Wi-Fi access points and supports over 150,000 devices on its network daily, spanning its campuses, hospitals and clinics. Performance management issues due to size, unpredictable usage patterns and a wide range of performance-stringent applications are a real concern.
“Today’s digital campuses and hospitals are increasingly dependent on complex applications, smart devices and mobile users who expect connectivity everywhere,” said David Morton, director, networks and telecommunications, University of Washington. “Using Aruba NetInsight, we have access to network data with flow visualisations and actionable analytics to help us make critical decisions about where expanded and new coverage is needed. We can also validate the before and after impacts of network change.
Aruba also added a new category of smart digital workplace partners to its ArubaEdge Technology Partner Program which includes corporate real estate leaders, connected furniture companies, and technology vendors. Together with Aruba, these partners will create modern workplaces such as personalised workspace ergonomic and lighting, mobile UC and fully-automated conference rooms, preventive equipment maintenance features, and automated energy conservation.