From a technical point of view, I-IoT analytics uses multiple modules—machine learning (ML), anomaly detection, physics kernels, risk analysis, feature engineering, signal processing, optimization methods, simulation methods, damage prognostics, data quality and imputation, and surrogate-modelling. We can identify two way to build analytics, either based on practical rules or a mathematical model.