How easily can you answer “How is your Wi-Fi performing right now?” If you don’t know the answer, you cannot tell how the user experience is perceived.
Mist developed a cloud-native Wi-Fi solution that is AI-driven, using artificial intelligence (AI) and leveraging machine learning (ML). The Wi-Fi tries to resolve issues based on decisions driven by the AI engine.
A virtual network assistant named Marvis is a tool network administrators can rely on to determine the Wi-Fi network state quickly. It takes input using a natural language for questions as simple as “How is my San Jose site doing?” Or “What are my top 3 problems in San Jose.”
At the heart of the Mist cloud dashboard are the Service Level Expectations (SLEs). The SLEs track user experience over seven different service levels.
Implementation of machine learning applies data science with the Predictive Analytics and Correlation Engine (PACE) to understand end-user experience. The result is in the form of the SLE metrics.
These SLE metrics allow a network administrator to examine an issue more closely from the SLE and further into various classifiers.
Transform your network team today with the network assurance of Mist Wi-Fi supported by AI and ML. Contact us today to learn more.