The Internet of Things on AWS – Official Blog
Tag: edge computing
Unlocking the Power of Edge Intelligence with AWS
Empowering Smarter Decisions at the Edge In today’s data-driven world, businesses must deliver insights faster, enhance customer experiences, and improve efficiency. Traditional data processing often falls short of meeting real-time decision-making needs. In a manufacturing plant, sensor data can detect machine deterioration, but traditional cloud-based data analysis may not generate insights fast enough to prevent […]
Sharing a vision for a more connected world with AWS IoT
AWS IoT VP, Yasser Alsaied, talks IoT strategy, commitment, and outlook Introduction The future of the Internet of Things (IoT) has been a topic of ongoing discussion and speculation. With implications for IoT hyperscalers, vendors, and customers alike, the landscape is rapidly evolving. To shed light on this topic, I spoke with Yasser Alsaied, vice […]
Detect Cryptocurrency Mining Threats on Edge Devices using AWS IoT
Introduction Machine learning (ML) at the edge requires powerful edge requires powerful edge devices with a unique set of requirements. The availability, safety, and security requirements for the edge differ from cloud since they are located at the customer site, outside the data center, and interface directly with operational technology (OT) and the internet. Since […]
How to implement zero trust IoT solutions with AWS IoT
Introduction Zero trust is often misunderstood. It’s not a product but a security model and associated set of architectural principles and patterns. One of the main challenges customers face is determining how zero-trust principles can be applied to Internet of Things (IoT) and how to get started with incorporating zero trust with Amazon Web Services […]
AWS IoT Greengrass now supports the Windows operating system
Introduction Microsoft Windows is a common operating system for devices used in industrial automation. Customers using AWS IoT Greengrass have been restricted to Linux based devices until now. Today we are excited to announce native Windows support for AWS IoT Greengrass v2. This will allow customers to leverage AWS IoT Greengrass on their Windows based […]
How a major manufacturer manages and monitors industrial devices and vehicles with AWS IoT
Learn about a decoupled approach that unlocks device distribution, and see how an AWS customer who manufactures industrial devices and vehicles uses the decoupled approach to more effectively manage and monitor vehicles with AWS IoT.
Using AWS IoT Greengrass Version 2 with Amazon SageMaker Neo and NVIDIA DeepStream Applications
AWS IoT Greengrass Version 2 was released for general availability during re:Invent 2020. AWS IoT Greengrass is an Internet of Things (IoT) open source edge runtime and cloud service that helps you build, deploy, and manage device software. Customers use AWS IoT Greengrass for their IoT applications on millions of devices in homes, factories, vehicles, […]
Connecting home appliances with a smart home solution built on AWS in the AWS China Region
This blog post introduces how the manufacturers of home appliances can use AWS Services to build and maintain their smart home solutions. These solutions are both the platforms that power their connected products as well as the applications consumers use to control those products. This blog post illustrates a real use case from a customer […]
How to integrate NVIDIA DeepStream on Jetson Modules with AWS IoT Core and AWS IoT Greengrass
AWS continually evolves our edge computing offerings to provide customers with the technology they need to extend AWS services to edge devices, such as consumer products or manufacturing equipment, and enable them to act intelligently. This helps customers avoid unnecessary cost and latency, and empower customers with the ability to manage edge devices securely and […]
Using Chainer Neural Network Framework with AWS Greengrass ML Inference
Starting today, Greengrass ML inference includes a pre-built Chainer package for all devices powered by Intel Atom, NVIDIA Jetson TX2, and Raspberry Pi. So, you don’t have to build and configure the ML framework for your devices from scratch. With this launch, we now provide pre-built packages for three popular machine learning frameworks including TensorFlow, […]