Category: Internet of Things

In this post, we walk you through how FRESH is translating cloud-enabled analytics into practical tools that support resilient, trusted food systems, starting with a deep dive into dynamic shelf-life modeling. Specifically, we detail how AWS services such as Amazon Simple Storage Service (Amazon S3), AWS Glue, and Amazon SageMaker AI are used to build and train predictive models.

Learn more about the Technology Readiness Experimentation (T-REX) 26-1 exercise at Camp Atterbury, Indiana, validated this approach in December 2025, demonstrating real-time monitoring, predictive analytics, and automated optimization across 20 technologies operating simultaneously.

This blog post explores how nonprofits can use AWS Supply Chain services to gain real-time visibility into their supply chains, reduce waste, and confirm that meals are reaching their intended recipients.

This is a guest post from the Belgian Ministry of Finance, AWS customer The Belgian Ministry of Finance has successfully deployed a cost-effective, real-time digital tax monitoring system using Amazon Web Services (AWS). The system helps fight fraud and is expected to bring an estimated €156 million additional annual value-added tax (VAT) returns. The Belgian […]

Modern warfare has evolved into a data-driven domain where success often depends on the ability to collect, process, and act on information faster than adversaries. Whether it’s processing sensor data, coordinating autonomous systems, or enabling tactical communications, the edge has become a critical battlefield where decisions are made in real time.

We are entering an era when conservationists don’t just have more data available, they also have far more powerful ways to connect it, collaborate with it, and drive meaningful outcomes through it. From rainforests to oceans, and across the entire surface of the earth, innovative organizations are using data to accelerate conservation outcomes with game-changing results.

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

This significant growth in military unmanned aerial vehicles, which serve as a proxy for the broader autonomous systems market, underscores the urgent need for scalable, secure, and efficient software deployment solutions. As the number of autonomous platforms increases, so does the complexity of managing their software systems. In response to this growing challenge, Shield AI and AWS have collaborated and successfully demonstrated a scalable architecture and proof of concept (PoC) that addresses challenges often seen when deploying autonomy software and machine learning algorithms onto autonomous systems.

AWS provides innovative health researchers with the agility, adaptivity, and resilience they need to accelerate their research. Because of this, AWS expanded the scope of its commitment to Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health performers to include its Spark funding track awardees. These awardees focus on transformative early-stage research in women’s health.

In this post, we will explore AWS IoT services in the context of NIST Special Publication 800-183: Networks of ‘Things’. NIST 800-183 presents a model for expressing IoT deployments and establishes concerns about the trustworthiness of the Internet of Things, which AWS IoT services can help public sector organizations address. We will delve into key areas such as authentication, monitoring, and secure communication.