Anomaly-Detection

16 articles
Unsupervised Learning What unsupervised learning is, how it discovers patterns without labels, and practical enterprise …DBSCAN Density-Based Spatial Clustering of Applications with Noise, a clustering algorithm that discovers …Case Pattern: Predictive Maintenance AI for a Manufacturing Plant Architecture and lessons from deploying AI-driven predictive maintenance across 200+ machines in a continuous …Case Pattern: AI Fraud Detection for a Regional Bank Architecture and lessons from deploying a real-time AI fraud detection system processing 2 million …Azure Anomaly Detector - Time Series Anomaly Detection Azure Anomaly Detector is an AI service that identifies anomalies in time series data using machine learning …Autoencoder What autoencoders are, how they learn compressed data representations, and practical applications in anomaly …Anomaly Detection Methods for identifying outliers and unusual patterns in data, including Isolation Forest, One-Class SVM, and …Amazon Lookout for Vision - Visual Anomaly Detection A comprehensive reference for Amazon Lookout for Vision: automated visual inspection, defect detection, and …Amazon Lookout for Metrics - Anomaly Detection A comprehensive reference for Amazon Lookout for Metrics: automated anomaly detection in business and …AI Tax Fraud Detection Machine learning-based detection of tax fraud, evasion, and non-compliance using anomaly detection, network …AI Spark: AI-Powered Operational Anomaly Alerts Use AI to detect unusual patterns in operational metrics and generate contextual alerts that explain what …AI Log Pattern Analysis and Anomaly Detection AI analyzes application logs to identify unusual patterns, correlate errors across services, and surface …AI Fraud Detection for Insurance Claims fraud detection using anomaly detection, network analysis, image forensics, and behavioral patterns to …AI Cloud Cost Anomaly Detection AI monitors cloud spending in real time, detects unusual cost spikes, identifies root causes, and alerts teams …AI Predictive Maintenance for Energy Infrastructure Sensor data analysis, failure prediction, maintenance scheduling, and cost optimization for energy …AI Fraud Detection for Financial Services Real-time transaction scoring, anomaly detection, behavioral biometrics, and investigation prioritization for …