AWS Public Sector Blog

Tag: government

Running government workloads securely at the edge

Edge computing moves data processing and analysis close to endpoints where data is generated to deliver real-time responsiveness, and reduces cost associated with transferring large amounts of data. Edge environments include Internet of Things (IoT) or mobile devices, sensors, video cameras, and other connected resources. With edge, the usual security principles still apply such as protecting data at rest and in motion, but new considerations emerge. Learn more in the new IDC whitepaper.

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AWS announces simpler access to sustainability data and launches hackathon to accelerate innovation for sustainability

Artificial intelligence (AI) and machine learning (ML) are critical tools being used in healthcare research, autonomous applications, predictive maintenance, and also a key tool used to advance sustainability solutions. However, to use AI and ML to solve sustainability problems, innovators need specific datasets that are prepared for analysis and training of the models. To help create and accelerate sustainability solutions, the Amazon Sustainability Data Initiative (ASDI) today announced easier identification of sustainability datasets with integration in AWS Data Exchange and the launch of a sustainability hackathon.

How public sector agencies can identify improper payments with machine learning

To mitigate synthetic fraud, government agencies should consider complementing their rules-based improper payment detection systems with machine learning (ML) techniques. By using ML on a large number of disparate but related data sources, including social media, agencies can formulate a more comprehensive risk score for each individual or transaction to help investigators identify improper payments efficiently. In this blog post, we provide a foundational reference architecture for an ML-powered improper payment detection solution using AWS ML services.

AWS GovCloud (US) or standard? Selecting the right AWS partition

This blog post explores the options US public sector customers and their business partners should evaluate when selecting an AWS partition. We discuss the differences between AWS GovCloud (US) and the AWS standard partition and how to decide which partition may be the best match for your organization’s security, compliance, and availability needs.

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Move data in and out of AWS GovCloud (US) with Amazon S3

Increasingly, AWS customers are operating workloads both in AWS GovCloud (US) and standard AWS Regions. Dependencies between workloads, changing data controls, or enrichment of data across multiple data levels are examples of business needs that may require moving data in and out of AWS GovCloud (US). In this blog post, I explain how to move data between Amazon Simple Storage Service (Amazon S3) buckets in the AWS GovCloud (US) and standard partitions.

Move file data in and out of AWS GovCloud (US) with AWS DataSync

As public sector customers find increasing need to move data between the AWS GovCloud (US) partition and the standard partition, they need tools to help them lower their operational burden. In this blog post, I walk through how to use AWS DataSync to move data on network file system (NFS) shares between the two partitions.

AWS supports development of U.S. Army’s first enduring tactical cloud environment

In 2020, the U.S. Army’s XVIII Airborne Corps embarked on a mission to become the Army’s data-centric Corps. Headquartered at Fort Bragg, North Carolina, the XVIII Airborne Corps—also known as the “America’s Contingency Corps” — is the Army’s strategic response force and is at the ready to deploy anywhere in the world to defend the US and its Allies. To enable their data ambitions, the XVIII Airborne Corps sought to establish the first enduring tactical cloud presence for the conventional Army and leveraged the AWS Cloud to support their journey.

Delivering secure and operational telemedicine for military combat training with AWS

The Uniformed Services University Health System (USUHS) is the nation’s federal health professions academy, offering a curriculum and educational experience that emphasizes military healthcare, leadership, readiness, and public health. Each year, USUHS holds a training exercise called Operation Gunpowder to help prepare third-year medical students for varying field-care challenges they may encounter during their service. Over the course of the eight weeks prior to the training exercise, AWS collaborated with Deloitte to deliver ancillary system and operational medicine telemedicine best practice training to the participating students. “This is the first time telemed has truly delivered,” reported attending experts in special operations medicine.