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