Presentation: Smart Threshold Suggestions for iHydrant Objective: Automating anomaly detection and configuration for new and existing sensors.

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This presentation outlines a transition to AI-suggested thresholds for iHydrant, addressing alarm fatigue and critical event detection challenges. Solutions include peer-group benchmarking for new setups, statistical profiling for existing sensors using standard deviation, and advanced machine learning with time-series analysis. For new clients, clustering by metadata provides immediate best practice suggestions, while existing clients benefit from dynamic baselines and adaptive thresholding...