Leveraging Azure for Connected Intelligence
Explore powerful tutorials that bridge the gap between Internet of Things (IoT) data and cutting-edge machine learning models. Learn how to ingest, process, and analyze data from your devices to build predictive maintenance systems, anomaly detection, and intelligent automation.
Featured Tutorials
Predictive Maintenance with Azure IoT Edge
Deploy machine learning models directly to IoT devices to predict equipment failures before they happen. This tutorial guides you through setting up the infrastructure and implementing a real-time prediction pipeline.
Learn MoreAnomaly Detection on Sensor Data
Ingest streaming data from IoT devices into Azure Stream Analytics and Azure Machine Learning to identify unusual patterns and anomalies. Detect security breaches, operational issues, or quality deviations.
Learn MoreIoT Device Twin & ML Model Integration
Utilize Azure IoT Hub device twins to manage and monitor IoT devices. Integrate machine learning insights by updating device twin properties with predictions or recommended actions.
Learn MoreSmart City Traffic Optimization
Build an intelligent system for traffic management by analyzing data from IoT sensors. This tutorial covers data ingestion, real-time processing, and applying machine learning for optimal traffic flow.
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