ThePredictive Analytics and Correlation Engine (PACE)is the core AI engine that powers theJuniper Mist Cloud. It is designed to continuously learn from real-time telemetry and user interactions across wireless, wired, and WAN networks to proactively identify anomalies and predict performance issues.
According to theJuniper Mist AI Cloud and PACE Architecture Documentation, PACE:
“Leverages machine learning and advanced analytics to correlate data across millions of network sessions, automatically identifying patterns that affect user experience.”
The engine continuously evaluates key Service Level Expectations (SLEs), such asTime to Connect,Throughput, andRoaming, to establish performance baselines and detect deviations before users notice them.
PACE doesnot rely on manual analysisoruser feedback, and it integrates telemetry rather than external monitoring tools to maintain a closed-loop feedback system for self-correction and optimization.
Therefore, PACE usesmachine learning (A)to understand, predict, and improve end-user experience across Juniper Mist-managed networks.
[References:– Juniper Mist AI Cloud Architecture and PACE Overview– Juniper Mist AI Operations and Analytics Guide– Juniper Mist Assurance and Machine Learning Documentation, , , ]
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