AWS Public Sector Blog

Category: AWS Glue

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Improving customer experience for the public sector using AWS services

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

AWS branded background with text overlay that says "Univ. of Pittsburgh Athletics use AWS to unlock data insights for every step of the fan journey"

Univ. of Pittsburgh Athletics use AWS to unlock data insights for every step of the fan journey

The University of Pittsburgh Athletics Department wanted to know more about its fans, so it looked for an innovative solution and turned to Amazon Web Services (AWS). By focusing on fan behavior and seeking out trends in ticket sales, the department hoped to answer questions surrounding team loyalty and how they could stay competitive. This post provides an overview of the powerful solution Pitt Athletics built to engage with and sell to its fanbase.

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Building NHM London’s Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS

The Natural History Museum in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have worked together to transform and accelerate scientific research by bringing together a broad range of UK biodiversity and environmental data types in one place for the first time. In this post, the first in a two-part series, we provide an overview of the NHM-AWS project and the potential research benefits.

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Use Amazon SageMaker to perform data analytics in AWS GovCloud (US) Regions

Amazon SageMaker is a fully managed machine learning (ML) service that provides various capabilities, including Jupyter Notebook instances. While RStudio, a popular integrated development environment (IDE) for R, is available as a managed service in Amazon Web Services (AWS) commercial Regions, it’s currently not offered in AWS GovCloud (US) Regions. Read this post, however, to learn how you can use SageMaker notebook instances with the R kernel to perform data analytics tasks in AWS GovCloud (US) Regions.

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Unlocking data governance for multiple accounts with Amazon DataZone

This post discusses how Amazon Web Services (AWS) can help you successfully set up an Amazon DataZone domain, aggregate data from multiple sources into a single centralized environment, and perform analytics on that data. Additionally, this post provides a sample architecture as well as a walkthrough on how to set up that architecture. Ultimately, this post serves as a valuable resource if you’re seeking to optimize your data management processes and derive actionable insights to drive business growth.

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Modern data strategy for government tax and labor systems

Introduction Government authorities such as tax, unemployment insurance, and other finance agencies across the US and globally are seeking ways to innovate. They are trying to unlock insights from their data, deliver better customer experiences, and improve operations using cutting-edge technologies such as generative artificial intelligence (AI), machine learning (ML), and other data analytics tools. […]

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Powering the generative AI era: What you missed at the AWS Public Sector Symposium Brussels

On 12 March, the Amazon Web Services (AWS) Public Sector Symposium Brussels returned to the Brussels Expo in Belgium. The no cost, in-person conference gathered cloud enthusiasts interested in the public sector for a day dedicated to deepening knowledge of how the cloud and generative artificial intelligence (AI) are transforming organizations and businesses around the world. Central to the event were the themes of generative AI, sustainability, security, and— importantly for Europe—digital sovereignty. Read this blog post for all of the key takeaways.

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ASPPH scales data curation for members with a data lake on AWS

The Association of Schools and Programs of Public Health (ASPPH) — a nonprofit association with a vision for improved health and well-being for everyone, everywhere — partnered with Amazon Web Services (AWS) Professional Services (AWS ProServe) to move their curated data to a managed data lake on AWS. In this blog post, we share how ASPPH and AWS designed and built the data lake and the results of moving to a modern, scalable data architecture.

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Guernsey County, Ohio, modernizes its emergency response with AWS

Guernsey County in Ohio selected Amazon Web Services (AWS) Partner Carbyne to help transition its 911 call center from analog to a digital interface that is smartphone-friendly and allows operators to communicate with callers via live video. Read this blog post to learn more.

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Estimating physical climate heat risk with NASA Global Daily Downscaled Projections on ASDI

Climate risk consists of transition risk and physical risk. Transition risk represents regulatory and market-based risks while physical climate risk covers climate-related earth processes and its effects on the built and natural environment. In this blog post, we highlight how to use Amazon Web Services (AWS) to enrich your asset portfolio with open climate data hosted in AWS.