| | August - 20199We purchased an AI-driven network from Mist / Juniper, which does what a human couldn't possibly do: collect real-time information about what every Wi-Fi and the wired user is experiencing, analyze that data in the cloud, and get actionable insight to solve problems before they impact the user experience. This advanced level of troubleshooting allows us to do something unheard of in the old architecture: establish network service-level baselines for key satisfaction metrics, like time to connect, roaming time, throughput, and more. For example, we can delineate that it should take no more than two seconds for a smartphone user in our Wheeler residence hall to access the Wi-Fi, know right away if it took longer, and see in a clear, easy-to-read format what exactly in the network went wrong.The system is true AI in that it learns over time and can predict issues even before they happen, which adds a self-healing element to the network. The technology we acquired even has an Alexa-like "virtual network assistant" that uses natural language processing to provide network administrators with answers to questions such as, "How are the Wi-Fi access points in Baker-Berry Library performing?"Since the new AI-driven network came online, complaints to the help desk have plummeted. And when complaints do come in, help desk reps are able to handle them quickly and independently of the network services team.As AI continues to change how we live and work for the better, any university should consider the implementation of an AI-powered network as part of a broader digital transformation initiative to better serve the university community in the digital age. As AI continues to change how we live and work for the better, any university should consider the implementation of an AI-powered network as part of a broader digital transformation initiative to better serve the university community in the digital ageFelix Windt
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