Category: AWS IoT Analytics

The IoT Foundation Series, a new curriculum dedicated to IoT on AWS, is now available online on the AWS Training and Certification website. This curriculum contains self-directed online training classes that are scenario-based and aligned with the library of IoT design patterns called the IoT Atlas and IoT best practices in AWS whitepapers. This curriculum […]

Introduction Visualizing IoT data that can vary significantly over short periods of time (seconds) is important for several reasons: exploration and discovery of patterns, assessing trends and cyclicity, as well as observing potential correlations and anomalies. Insightful time-series visualizations can help identify anomalies, raise alerts based on these anomalies, and improve communication between various stakeholders, […]

Our oil and gas customer wanted to deploy AWS IoT Analytics to help them:  Better understand their assets in the field (for example, pumps, generators, valve assemblies, and so on).  Derive actionable insights from their data.  Build a predictive maintenance solution to help reduce their costs. By using IoT Analytics, our customer can: Pre-process the […]

The interest in machine learning for industrial and manufacturing use cases on the edge is growing. Manufacturers need to know when a machine is about to fail so they can better plan for maintenance. For example, as a manufacturer, you might have a machine that is sensitive to various temperature, velocity, or pressure changes. When […]