Category: Edge

Introduction Building an IoT device for an edge Computer Vision and Machine Learning (CVML) solution can be a challenging undertaking. You need to compose your device software, ingest video and images, train your models, deploy them to the edge, and manage your device fleet remotely. This all needs to be performed at scale, and often […]

Gartner, a company that delivers actionable, objective insight to executives and their teams, has published the 2024 Gartner Magic Quadrant for Global Industrial IoT Platforms. Amazon Web Services (AWS) was named a Leader for its ability to execute and completeness of vision. We believe this placement reflects our breadth and depth of industrial capabilities on […]

Over the last few years, the industrial and manufacturing sectors have witnessed an accelerated transformation fueled by the advancement of the Industrial Internet of Things (IIoT), artificial intelligence (AI), and machine learning (ML). At the heart of this transformation is data, which when harnessed effectively, can propel businesses to new heights of operational efficiency, innovation, […]

Introduction Many modern industrial operations require extensive monitoring and real-time decision making for efficiency and safety reasons. To reduce the unexpected network interruption and delay in IoT data processing, edge computing becomes a desirable option for real-time IoT data processing and monitoring. Edge computing is a system of micro computing/storage devices that are installed at […]

Introduction Industrial organizations are facing a new challenge as they try to merge the traditional physical world (Operational Technology or OT) and the digital world (Information Technology or IT). In our experience, companies who prioritize organizational change management when implementing digital solutions get better results from their investments. This is even more true when building […]

Introduction In the first part of this blog series Create insights by contextualizing industrial equipment data using AWS IoT SiteWise (Part 1) we focused on asset modelling and real-time analytics in AWS IoT SiteWise. We created a dashboard in AWS IoT SiteWise Monitor to get a real-time overview of our furnace heating cycles. But we […]

Introduction More and more customers in the manufacturing industry want to collect data from machines and robots located in different facilities into a centralized AWS cloud-based IoT data lake. But the data produced by industrial equipment is often raw data points like temperature and pressure time series. Feeding those raw data streams directly into your […]

In this post we discuss how AWS IoT for Defense and National Security (IoT4D) increases readiness by driving operational excellence for manufacturing and supply chains, improving sustainability for buildings and bases, improving equipment maintenance and uptime, and providing situational awareness at the tactical edge. IoT workloads securely collect, aggregate, and store data from fleets of […]

Efficiency, uptime, and the minimizing of costs are three of the most important pillars of a successful industrial operation. Understanding the operating state of equipment, overall efficiency of a piece of equipment, or a whole production line – as well as how these affect costs and revenue across multiple sites – requires a complete view […]

Introduction In this post, we discuss how AWS IoT SiteWise and AWS IoT SiteWise Edge can be used to store data not only in the AWS IoT SiteWise data store but also in many other locations. By default data is stored in the AWS IoT SiteWise data store on AWS. Customers told us that they […]