The Internet of Things on AWS – Official Blog

Category: Artificial Intelligence

Digital Twins on AWS: Understanding “state” with L2 Informative Digital Twins

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. We defined Digital Twin as “a living digital representation of an individual physical system that is dynamically updated with data to mimic the true structure, state, and behavior of the […]

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Increase military readiness with AWS IoT for Defense and National Security

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 […]

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Drive efficiencies in sustainable waste management using AWS IoT Core

According to the UK local government association, councils spend around £852 million per year on waste collection. Therefore, even a small savings of 5% is considerable, amounting to £42.6 million. Additionally, when it comes to food, globally, we waste almost 1 billion tonnes of food each year. According to WRAP charity, businesses and governments are […]

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Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 2

The following is a survey paper, published and presented to the Academic Congress of Embedded World 2022 at Nuremberg, Germany on June 21st 2022. Part 1 – Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 1 Provisioning Layer The provisioning layer of your IoT workloads consists of the Public Key […]

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Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 1

The following is a survey paper, published and presented to the Academic Congress of Embedded World 2022 at Nuremberg, Germany on June 21st 2022. Abstract Embedded edge devices with multi-sensor data sources are proliferating at an accelerating rate. Devices must be designed, manufactured, installed, connected, and controlled through seven distinct logical layers to securely connect […]

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Digital Twins on AWS: Predicting “behavior” with L3 Predictive Digital Twins

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. We defined Digital Twin as “a living digital representation of an individual physical system that is dynamically updated with data to mimic the true structure, state, and behavior of the […]

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Digital Twins on AWS: Driving value with L1 Descriptive Digital Twins

In our prior blog, we discussed a definition and framework for Digital Twins consistent with how our customers are using Digital Twins in their applications. In particular, we described a Digital Twin leveling index to help customers understand their use cases and the technologies needed to achieve the business value they are seeking. This Digital […]

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Digital Twins on AWS:  Unlocking business value and outcomes

Every day, we hear from our customers about the desire to implement Digital Twins to improve operations, product offerings, and business value delivered to their own end customers. The concept of twins is not new and dates back to the early days of the space program. The Apollo 13 mission in the 1960s is an […]

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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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