Incident analytics is powered by machine learning and artificial intelligence. The AI enables RUCKUS Analytics to automatically establish the behaviour of each network element without requiring input from the IT department.  It then uses machine learning to identify service incidents and issues relating to connectivity, performance and infrastructure that can affect user experience.

Moreover, it makes further use of AI to classify service incidents by severity, addressing the severity of each incident in order of highest-priority issues first. The system provides details for each incident that include the following: root causes and recommended actions, affected areas, other impact details, including severity, client impact and duration and a list of impacted clients and much more.

POWERFUL CLIENT TROUBLESHOOTING

Ruckus Analytics provide users with a simple, intuitive search and client troubleshooting page, giving users a complete picture of the client experience for easy connectivity and user diagnostics. On the troubleshooting page you can find the following diagnostics, which include:

MELLISA – YOUR OWN AI VIRTUAL NETWORK ASSISTANT

RUCKUS Analytics comes with an AI-powered virtual assistant called Melissa. She helps users with a wide variety of inquiries and deliveres highly insightful responses, saving IT teams valuable time with read access to information that helps them manage network operations – without the need for any coding.