AI and Machine Learning (ML) to Improve Client Experience and Ensure IoT Device Performance & Security.
Voyance performs both real-time and batch analytics for a detailed end-to-end analysis of client experience with the ability to predict outcomes. The platform employs Artificial Intelligence and Machine Learning (AI/ML) techniques, such as clustering and regression, on all of the input data sources to automatically determine baseline performance, detect hidden trends, and identify anomalous behavior. Voyance is the first AI-based solution to deliver unmatched IoT operational assurance with the integration of IoT security and device performance analytics in a single platform.
Insights into extremely complex questions, such as “Which Windows laptop users on the corporate SSID are experiencing poor Skype for Business user experience. Correlation, indexing and visualization of every client incident across the relevant dimensions such as root cause, location, SSID, VLAN, OS, etc.
Detailed data correlation of incidents with all of the factors across stack, (e.g. when client experienced poor Web experience, at the same time was Wi-Fi, the WAN or any other network service experiencing problems?) Eliminate potential root causes and point IT in the right direction for solving problems and improving user experience.
Correlation at near real-time yield root causes about what happened at the same time that could have caused the problem. For WAN flow analysis, per minute correlations yield the number of high link utilization minutes plus specific users or apps that contributed to help answer the question question “what caused the Internet to be inaccessible at a certain time on a given day?