AWS Public Sector Blog

Tag: Amazon S3

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5 best practices for resiliency planning using AWS

Organizations face a host of threats to business continuity, from extreme weather events to cyber-attacks to human error. Many turn to Amazon Web Services (AWS) to house their workloads in an environment that can withstand disruptions of any type or scale. IT resilience hinges on developing strong architectural, technological, and operational management. Cloud environments require assembly, execution, and maintenance. Here are five best practices for organizations to build IT resilience.

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Photo by Tom Rumble on Unsplash

Bridging data silos to house and serve the homeless

Efforts to prevent and combat homelessness are limited by the lack of comprehensive data about people experiencing homelessness. This makes it difficult for states to identify trends and emerging needs to respond and make data-driven decisions about the effective deployment of resources. The cloud can help bridge information silos. Read on for examples of how states use the cloud to bridge data silos and better serve the homeless.

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phone notification

Building a government update notification system

Now more than ever, citizens expect effective communications from government agencies in response to COVID-19. These state and local leaders are committed to serving their citizens with the latest news as fast as possible, but not all strategies reach citizens in real time. However, it takes time for the government to implement widely available communication services to provide timely, accurate information. One solution is to concentrate the delivery of information in a single communication channel: SMS text messages.

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PhysioQ NEO

Scaling a platform for early detection of COVID-19 symptoms

In response to the COVID-19 pandemic, nonprofit organization PhysioQ launched a COVID-19 early-detection platform for families. Jordan Masys, co-founder of PhysioQ, describes how AWS allows PhysioQ to create and to scale a platform that not only helps detect signs of COVID-19 early, but also accelerates scientific research.

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Voter registration

How nonprofit civic organizations use the cloud to meet registration demand and modernize voter education

Tuesday, September 22, 2020 is National Voter Registration Day, a nonpartisan civic holiday in the United States celebrating democracy with a mission to create broad awareness of registration opportunities for voters. Learn how nonprofit civic organizations use the cloud to meet their mission in a secure, scalable, and cost-effective way on National Voter Registration Day and throughout the election cycle.

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Data lake

Building a data lake at your university for academic and research success

According to the National Center for Education Statistics, only 60 percent of college students receive a degree within six years. Universities—like Portland State University (PSU) and Oklahoma State University (OSU-OKC)—are using data lakes for analytics and machine learning to improve academic achievement by helping students reach their educational goals faster. Read on for how institutions use Amazon S3 for data lakes.

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cloud horizon

Building cloud-based community knowledge about machine learning to predict and understand extreme weather

The National Center for Atmospheric Research (NCAR) is a federally funded research and development center sponsored by the National Science Foundation. It engages in large-scale Earth system science research projects in collaboration with the broader university community. NCAR hosts visitors from around the world, develops community models including the Community Earth System Model and the Weather Research and Forecasting Model, and maintains supercomputers, observational systems, and aircraft to support further study on the how the planet works. As part of the Amazon Sustainability Data Initiative, we invited Dr. David John Gagne, machine learning (ML) scientist at NCAR, to share how open data and machine learning on AWS are impacting the way we predict and understand extreme weather.

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Adding an ingress point and data management to your healthcare data lake

Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. In my previous post, “Getting started with a healthcare data lake,” I shared how to get started using data lakes in managing healthcare data and what a good “first sprint” architecture might look like. Here, I walk through building your first solution on AWS using a healthcare data lake as our example workload.

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How the cloud is powering fast, scalable diagnostics in the fight against COVID-19

In response to the COVID-19 pandemic, healthcare organizations around the world are focusing on improving and speeding up testing and diagnostics. Digital health companies Smart Reporting in Germany and Thirona in the Netherlands have been working to create a CT-based imaging solution to support COVID-19 diagnosis, enabled by the cloud and the Amazon Web Services (AWS) Diagnostic Development Initiative. The AWS Diagnostic Development Initiative provides support to organizations for innovation in rapid and accurate patient testing for 2019 novel coronavirus (COVID-19) and other diagnostic solutions to mitigate future outbreaks.

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Promoting biodiversity conservation with open data and the cloud

Working with a network of 100 biodiversity information centers and 1,000 conservation scientists, NatureServe identifies and understands the most important places to prevent species extinction and ecosystem loss. They provide land use decision-makers in federal and state agencies, industry, academics, and nonprofits with information to meet both regulatory and biodiversity conservation needs. NatureServe and its network collect and maintain data on the conservation status and location of threatened and endangered species, developed over decades of field data collection. But these data have been underutilized in environmental review decision-making processes due to challenges surrounding awareness, access, and reliable or seamless integration with other systems. To address these challenges, they developed an online spatially explicit tool on AWS.

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