Category: Internet of Things

Across numerous types of implementations, a large portion of IoT applications collect large volumes of telemetry data. From industrial use cases to healthcare, and from consumer goods to logistics, IoT telemetry data points are highly time-dependent. In most IoT solutions, when the data is collected and reported matters for several reasons. For instance, in attribution […]

Many embedded architectures include a connectivity processor connected to one or more secondary processors that perform business logic. The ability to perform secondary processor over-the-air (OTA) updates is just as critical as updating the connectivity processor. This is because it allows for low-cost patching of bugs and security vulnerabilities as well as delivering new features […]

Solution providers operating environments such as smart building, utilities, manufacturing systems, and connected products offer business-to-business services often based on IoT platforms deployed in multitenant deployments. Securely managing those resources by use case, types, locations and by tenants can sometime be hard. Creating hierarchical grouping of things is a common pattern, but it does not […]

This post covers the use case of an organization creating voice-enabled features for its customers. The example use case is building a smart hotel environment that allows hotel guests and employees to use voice commands to control devices within hotel rooms. Throughout this post, we focus on the integration between Amazon Alexa, Amazon API Gateway, […]

AWS IoT customers manage a large number of industrial assets which send sensor data to the cloud. The smooth operation of these assets is critical to the productivity of their plants, since any equipment breakdown can lead to unexpected downtime and require expensive recovery maintenance. The ability to predict such failures and respond to them […]

Post by Asim Kumar Sasmal, Senior Data Architect in the IoT Global Specialty Practice of AWS Professional Services and Saras Kaul, Senior Product Manager of AWS IoT SiteWise.   [Before reading this post, read Part 1 and Part 2 in the series.] In Part 1 of this series, you learned how to model and ingest data from industrial […]

Post by Asim Kumar Sasmal, Senior Data Architect in the IoT Global Specialty Practice of AWS Professional Services and Sourav Chakraborty, Senior Product Manager of AWS IoT SiteWise.   [Before reading this post, read Part 1 in the series.] In Part 1 of this series, you learned how to model and ingest data from industrial sites in a […]

Post by Saras Kaul, Senior Product Manager of IoT SiteWise, Asim Kumar Sasmal, Senior Data Architect, and Mark Gilbert, Senior Consultant in the IoT Global Specialty Practice of AWS Professional Services.   Industrial customers have been looking for a secure, cost-effective, and reliable field-to-cloud solution that does the following: Ingests all their data from hundreds of industrial sites that […]

Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team This post is the second in a series on how to build and deploy a custom object detection model to the edge using Amazon SageMaker and AWS IoT Greengrass. In part 1 of this series, we walked through the training […]

Post by Angela Wang and Tanner McRae, Engineers on the AWS Solutions Architecture R&D and Innovation team Running computer vision algorithms at the edge unlocks many industry use cases that has low or limited internet connectivity. Combining services from AWS in the Machine Learning (ML) and Internet of Things (IoT) space, training a custom computer vision model and running […]