Adaptive thresholds enable users to optimize efficiency of alerts being received, by modifying threshold values for critical monitors dynamically using RMM Central's Machine Learning-based predictive algorithms. It eliminates the need for manual intervention with deciding thresholds and fully automates the process of studying complex datasets and arriving feasible threshold values for each monitor.