AWS Public Sector Blog

Tag: Amazon Sagemaker

American Forests uses the cloud to advance Tree Equity across the United States

The nonprofit American Forests is focused on advancing social equity with a national reforestation movement. Trees provide significant benefits against heat related illnesses and climate change, and trees can help advance social equity when they are planted in the neighborhoods that need them the most. But the challenge of achieving Tree Equity across the country is immense. To address this, American Forests is leading a new national campaign through the Tree Equity Score, powered by the Amazon Web Services (AWS) Cloud.

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Fighting fraud and improper payments in real-time at the scale of federal expenditures

Since 2003, the US federal government has made approximately $1.7 trillion in improper payments, with an estimated $206 billion made in FY 2020 alone. Improper payments are now anticipated to increase proportionally to new levels of federal spending. How can agencies fight improper payments at this scale? And what tools can agencies use to address fraud, erroneous data submission and other causes of this problem? Agencies can use AWS to solve the multi-sided issues of payment integrity.

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EdTechs address mental wellbeing to improve student achievement with the cloud

According to EdTech Magazine, at the height of the pandemic, 94 percent of educators agreed that students will need increased social and emotional support throughout the school year. There’s a renewed focus on social-emotional learning (SEL) support in the classroom, with educators looking for additional ways to help students be healthy and engaged in class. Four AWS EdStart Members are addressing different aspects of SEL and helping to positively impact the student experience.

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Edunation scales up to 32 times activity by boosting infrastructure with AWS

Using AWS, Edunation seamlessly responded to increasing demand during the COVID-19 pandemic. Edunation collaborates with top educational institutions across the Middle East and North Africa (MENA) region and provides all-in-one learning and school management solutions. Today, the EdTech is on a mission to push learning management systems (LMS) beyond virtual classrooms.

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woman takes photo of document on her smart phone

Using AI to rethink document automation and extract insights

The maturing of artificial intelligence (AI) has brought ready-made services that organizations can use, not only to automate data entry work but also to apply intelligence into the business process. Using modern AI capabilities on AWS, organizations can transform approaches to document management. This allows public sector organizations to save time (enabling faster throughput especially during higher volume paperwork times), so they can help get constituents their services faster, and focus on the most valuable work of the high-touch or high-need cases. Document automation helps reduce human entry error and provide backup services in case of natural disaster.

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aerial street map Singapore

NUS Urban Analytics Lab scales research globally with AWS

The Urban Analytics Lab at the National University of Singapore (NUS) spearheads research in geospatial data analysis and 3D city modelling. The lab’s work underpins the development of smart cities and provides scientists, architects, urban planners, and real estate developers with data insights. These insights help parties make informed decisions about projects ranging from energy modelling to urban farming. To meet rising global demand for its data analytics and planning tools, Urban Analytics Lab turned to Amazon Web Services (AWS).

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How to manage Amazon SageMaker code with AWS CodeCommit

How to manage Amazon SageMaker code with AWS CodeCommit

To help protect investments on ML, government organizations can securely store ML source code. Storing Amazon SageMaker Studio code in an AWS CodeCommit repository enables you to keep them as standalone documents to reuse in the future. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data and build, train, and deploy models. Read on to learn the steps to configure a git-based repository on CodeCommit to manage ML code developed with SageMaker.

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Healthcare Sumerian

Harnessing the power of the cloud to design personalized healthcare solutions

Data is at the heart of healthcare, but our wellbeing is complex. It is a challenge to find the right approach when analyzing or visualizing data. Technology like text-to-speech, augmented reality (AR), and deep learning can help us better understand and explain health data. By designing solutions in the cloud, we can leverage AWS to launch and scale helpful tools as needed, paying for only what we use while keeping data secure.

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woman researcher at computer in lab

An introduction to AWS for research IT: Getting started in the cloud

The cloud can help researchers process complex workloads, store and analyze enormous amounts of data, collaborate globally, and accelerate research and innovation. For research IT, Amazon Web Services (AWS) can help build scalable, cost-effective, and flexible environments while still maintaining the governance and guardrails for security and compliance. Following best practices, AWS allows for centralized management of resources, improved security and compliance of research workloads, and can save costs and accelerate innovation. What are some common questions from research IT customers?

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Service Workbench on AWS

Announcing Service Workbench on AWS: A fast and simple solution to create a collaborative research environment

Today, Amazon Web Services (AWS) announced Service Workbench on AWS, a web portal for researchers to deploy domain-specific data and tools on secure IT environments in minutes not months. Customers can accelerate research while promoting repeatability, multi-site collaboration, and cost transparency in the research process. Tailored for researchers, Service Workbench helps quickly and securely stand up research environments for their work, allowing them to focus on the research not the technology.

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