The Internet of Things on AWS – Official Blog

Tag: AWS IoT sitewise

Build IoT web applications using AWS IoT Application Kit

Build IoT web applications using AWS IoT Application Kit

On Mar 1, 2022, we announced AWS IoT Application Kit, an open-source UI components library for IoT application developers. With AWS IoT Application Kit, developers can build rich interactive web applications leveraging data from AWS IoT SiteWise. IoT application developers can deliver customized user experiences like industrial asset monitoring applications using web front-end frameworks like […]

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Edge to Twin: A scalable edge to cloud architecture for digital twins

Are you seeking ways to get an immersive 3D view of your systems and operations to optimize efficiency, increase production, and improve performance? Perhaps you are generating all the data you need from various on-premise systems, but are unsure how to gain access to this information in a living virtual representation. In this blog post, […]

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7 patterns for IoT data ingestion and visualization- How to decide what works best for your use case

Whether you are just starting with your Internet of Things (IoT) journey, or already have millions of connected IoT devices, you might be looking for ways to maximize the value extracted from your IoT data. IoT devices data can contain a wealth of information within its reported telemetry data, metadata, state, and commands and responses. […]

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Ingesting and managing data from industrial equipment with AWS IoT SiteWise

AWS IoT SiteWise is a managed service that simplifies collecting, organizing, and analyzing industrial equipment data at scale. With AWS IoT SiteWise, customers can gather data reliably from multiple facilities, structure it, and make it accessible and understandable without developing additional software. With equipment data stored in AWS IoT SiteWise, customers can assess the performance […]

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Strengthening Operational Insights for Industrial Assets with AWS IoT AIML Solution (part 2)

In this two-part blog post, we propose an AWS IoT AI/ML solution to help our industrial customers for efficiently monitoring industrial assets in a scalable manner. Part 1 of the blog shows: How to create an asset simulator with AWS IoT SiteWise; How to create data pipeline to integrate Amazon Lookout for Equipment with AWS […]

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Strengthening Operational Insights for Industrial Assets with AWS IoT AIML Solution (part 1)

Customers that manage and maintain industrial assets strive to keep them functioning as efficiently as possible, which they can do by monitoring and analyzing the health of their assets. Plant operators measure efficiency with key performance indicators (KPIs) like overall equipment effectiveness (OEE) or mean time before failure (MTBF) and act to improve these metrics […]

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AWS IoT SiteWise Monitor

AWS IoT SiteWise Year One: Product enhancements, customer and partner stories

As AWS IoT SiteWise celebrates its first birthday, we chronicle in this post some of our major enhancements over the past year, highlight a few of our customers’ success stories, and describe key partner solutions that have integrated with AWS IoT SiteWise.

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AWS Yara Isometric Squid Hires

Yara and AWS to Digitalize Crop Nutrition Production System

Amazon Web Services (AWS) will assist world-leading crop nutrition company Yara in building a Digital Production Platform (DPP) to further improve safety, reliability, product quality and plant efficiency. The Yara Digital Production Platform aims to reduce Yara’s environmental footprint, supporting the company to deliver on its mission to responsibly feed the world and protect the […]

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AWS IoT SiteWise: 2020 in review

In this post, we summarize the new features and enhancements AWS IoT SiteWise launched in 2020 to improve customer experience to optimize industrial operations, and improve productivity and availability of industrial equipment. This post is summarized into the following sections: Enhanced security More options for data ingestion and edge processing Greater asset modeling flexibility Out […]

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