AWS Public Sector Blog
Category: AWS Glue
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.
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. […]
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.
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.
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.
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.
How transit agencies can use AWS to improve safety and passenger experience
Fleet managers can use Amazon Web Services (AWS) to ingest and analyze fleet driver data. In this post, we share how a large public transit agency in the United States worked with AWS to create a proof-of-concept (POC) to analyze operator behavior and improve its visibility of sudden acceleration-based events.
How the Imaging Data Commons migrated 40 million medical images using AWS DataSync
Learn how the National Cancer Institute Imaging Data Commons (IDC) team migrated the Imaging Data Commons data to AWS using AWS DataSync. Plus, learn how to get started with IDC data, which is accessible at no cost through the AWS Open Data Sponsorship Program.
Build population health systems to enhance healthcare customer experiences on AWS
As the amount of health data increases, different healthcare, life sciences, population health, and public health organizations are working to modernize their data infrastructure, unify their data, and innovate faster with technologies like artificial intelligence and machine learning (AI/ML). In this blog post, we dive deep on architecture guidance that enables healthcare providers to improve patient care.
Optimizing your nonprofit mission impact with AWS Glue and Amazon Redshift ML
Nonprofit organizations focus on a specific mission to impact their members, communities, and the world. In the nonprofit space, where resources are limited, it’s important to optimize the impact of your efforts. Learn how you can apply machine learning with Amazon Redshift ML on public datasets to support data-driven decisions optimizing your impact. This walkthrough focuses on the use case for how to use open data to support food security programming, but this solution can be applied to many other initiatives in the nonprofit space.