Analytics and Machine Learning Services - IoT Lens

Analytics and Machine Learning Services

After your IoT data reaches a central storage location, you can begin to unlock the full value of IoT by implementing analytics and machine learning on device behavior. With analytics systems, you can begin to operationalize improvements in your device firmware, as well as your edge and cloud logic, by making data-driven decisions based on your analysis. With analytics and machine learning, IoT systems can implement proactive strategies like predictive maintenance or anomaly detection to improve the efficiencies of the system.

AWS IoT Analytics makes it easy to run sophisticated analytics on volumes on IoT data. AWS IoT Analytics manages the underlying IoT data store, while you build different materialized views of your data using your own analytical queries or Jupyter notebooks.

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and customers pay only for the queries that they run.

Amazon SageMaker is a fully managed platform that enables you to quickly build, train, and deploy machine learning models in the cloud and the edge layer. With Amazon SageMaker, IoT architectures can develop a model of historical device telemetry in order to infer future behavior.