AWS Public Sector Blog

Category: Nonprofit

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Using machine learning to help nonprofits with fundraising activities

Nonprofits can leverage the cloud to reduce the burden associated with their fundraising activities. With machine learning (ML), nonprofits can identify individuals who are more likely to engage and donate to their cause to support their mission. Read more to learn exactly how you can put these solutions into action and leverage ML to help your nonprofit with fundraising efforts. In this post, discover how to use Amazon Personalize to build a ML model that supports a wide-range of personalization experiences—without prior machine learning experience.

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BrainGuide uses cloud technology to empower people with knowledge and resources for brain health

Alzheimer’s, a progressive brain disease that gradually deteriorates memories and thinking skills, is one of the leading causes of death in the United States, according to nonprofit UsAgainstAlzheimer’s (UsA2). To help address the immense need for brain health information and insights, UsA2 recently launched BrainGuide working with AWS and Biogen. BrainGuide is a first-of-its-kind platform that empowers people with knowledge and resources to take the best next steps in managing their own or a loved one’s brain health.

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How the cloud is helping remove barriers to addressing climate change

What if we were to democratize access to data and compute so that anyone, anywhere in the world could contribute to climate science? The Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to acquire and analyze large sustainability datasets. ASDI supports innovators and researchers with the data, tools, and technical expertise they need to advance sustainability initiatives. ASDI is committed to making climate-relevant data easier to access and analyze. ASDI’s growing data catalog comprises petabytes of open data.

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Now available: CMIP6 dataset to foster climate innovation and study the impact of future climate conditions

Today, Amazon announced that it is now hosting petabytes of data from the largest and most updated climate simulation dataset in the world. Through two cloud grants from the Amazon Sustainability Data Initiative (ASDI) to the Earth System Grid Federation (ESGF), Amazon is enabling climate researchers worldwide to access and analyze the dataset used for the United Nation’s Intergovernmental Panel on Climate Change’s Sixth Assessment Report (IPCC-AR6) on the AWS Cloud. The report—scheduled to be published in May 2022—provides policymakers worldwide with the latest assessment of the scientific basis of climate change, its impacts and future risks, and options for adaptation and mitigation. The climate simulation dataset, also known as the Coupled Model Intercomparison Project Phase 6 (CMIP6) data archive, traditionally hosted and distributed through the ESGF servers, aggregates the climate models created across approximately 30 working groups and 1,000 researchers working on IPCC-AR6.

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The strategic power of data, enabled by AWS Partner data-led migrations

Data has become a strategic asset. With the right tools, data becomes predictive and makes us agile. Using data-led migrations and advanced data analytics solutions, AWS Partners create repeatable and scalable solutions that provide increased operational efficiencies and profitability for companies, agencies, and governments. The three steps to gaining the full value of data are: migrate data to the cloud data lake, set up an analytics engine, and leverage artificial intelligence (AI) technologies, including ML and deep learning.

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Using the cloud to better understand and address social determinants of health

According to FAIR Health and the American Medical Association, telehealth use saw a nearly 3000% growth from pre-pandemic to during the pandemic. These services make virtual, real-time interactions between patient and provider possible. However, the great promise of telehealth has highlighted existing roadblocks that some face when trying to access healthcare in this country. The National Health IT Collaborative for the Underserved (NHIT) is a 501(c)3 non-profit organization on a mission to provide equitable access to health technologies and to make sure that these technologies address the needs of underserved communities and communities of color. Since its founding in 2008, NHIT has worked to advance health equity and economic viability on issues such as broadband access, electronic health records, precision medicine, consumer health applications and disaster resiliency.

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Accelerating nonprofit and education sector impact through data insights with Salesforce and AWS

Nonprofits and education institutions of all sizes rely on large amounts of data to serve their stakeholders, programs, and governance. For many organizations, the first step in a technology transformation begins with centralizing data that is siloed across a variety of mission critical systems. In support of these goals, Salesforce.org and Amazon Web Service (AWS) are working together to help nonprofits and education institutions derive actionable insights from their data.

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Now available: AWS Training course on compliance in AWS GovCloud (US) Regions

AWS Training and Certification is now offering a new foundational training course on AWS GovCloud (US) as part of their no-cost training webinar series. Introduction to Governance and Compliance in AWS GovCloud (US) Regions is a training workshop for those looking for a solution to host sensitive data and regulated workloads, or IT professionals just looking to learn more about AWS GovCloud (US). This new live training webinar dives into the basics of how AWS and AWS GovCloud (US) Regions address these stringent security, compliance, and governance requirements.

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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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SARS-CoV-2 viral genomes, storm surge forecasts, cloud-free satellite imagery: The latest open data on AWS

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). We work with data providers to democratize access to data by making it available for analysis on AWS; develop new cloud-native techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Our full list of publicly available datasets are on the Registry of Open Data on AWS. This quarter, we released 28 new datasets including data on SARS-CoV-2 viral genomes, storm surge forecasts, and US census data. Check out some highlights.

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