AWS Public Sector Blog
Category: Public Sector
City Colleges of Chicago drives tech program innovation with AWS Machine Learning University and Tech Alliance
City Colleges of Chicago (CCC)—the largest community college system in Illinois and one of the largest in the nation—participates in two no-cost HAQM Web Services (AWS) initiatives to advance and develop undergraduate technical programs. The AWS Machine Learning University Educator Enablement Program (MLU EEP) and the Skills to Jobs Tech Alliance connect early career talent to in-demand technical jobs globally, including in Illinois. Read this post to learn more.
Unlocking data governance for multiple accounts with HAQM DataZone
This post discusses how HAQM Web Services (AWS) can help you successfully set up an HAQM 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.
AWS Canada launches $5 million K12 Cyber Grant Program
Today, HAQM Web Services (AWS) announced the launch of the K12 Cyber Grant Program across Canada. To help public schools across Canada implement cloud-based cybersecurity solutions, AWS is investing $5 million CAD in AWS promotional credits to new and existing AWS customers. This program will allow school boards to improve their security posture and advance their ransomware protection. AWS has been architected to be the most flexible and secure cloud computing environment available today and our cloud infrastructure is secure by design and secure by default.
Deploy LLMs in AWS GovCloud (US) Regions using Hugging Face Inference Containers
Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the HAQM Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of hosting LLMs on HAQM Elastic Compute Cloud (HAQM EC2) instances, using the Hugging Face Text Generation Inference (TGI) Container (TGI) for serving custom LLMs.
Wake Forest University builds novel, robust alumni and student app on AWS
Wake Forest is a leading private university in the US with close to 9,000 enrolled students and almost 7,000 faculty and staff. With more than 82,000 degree recipients across all 50 US states and 103 foreign countries, its broader community is vast and growing. To make the most of this diverse community, university leaders want to create connections between individuals across graduating classes, disciplines, and geographies. This post highlights how the school used HAQM Web Services (AWS) to build a solution that brings its whole community closer.
How healthcare organizations use generative AI on AWS to turn data into better patient outcomes
Healthcare organizations invest heavily in technology and data. Generative artificial intelligence (AI) empowers healthcare organizations to leverage their investments in robust data foundations, improve patient experience through innovative interactive technologies, boost productivity to help address workforce challenges, and drive new insights to accelerate research. This post highlights three examples of how generative AI on HAQM Web Services (AWS) is being used in healthcare and discusses ways to leverage this technology in a responsible, safe way.
5 best practices for accelerating research computing with AWS
HAQM Web Services (AWS) works with higher education institutions, research labs, and researchers around the world to offer cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science. In our work with research leaders and stakeholders, users often ask us about best practices for leveraging cloud for research. In this post, we dive into five common questions we field from research leaders as they build the academic research innovation centers of the future.
ASTERRA helps build a more sustainable Earth by identifying and mitigating ‘lost water’ using AWS
ASTERRA, an Israel-based geospatial and Earth observation company, uses HAQM Web Services (AWS) to help water utilities and a number of industries identify and mitigate pipeline leaks. ASTERRA uses AWS to derive intelligence and insights from beneath the surface of their largest installations and to bypass the need to break ground and dig for leaks. Read this post to learn how AWS has helped ASTERRA overcome traditional on-premises infrastructure limitations and to accelerate the development of solutions for anticipating and mitigating failures, saving water, energy, and avoiding carbon dioxide (CO2) emissions as a result.
Renaissance Learning improves operations and scalability by migrating to AWS
Renaissance Learning is a global leader in the pre-K–12 education technology (EdTech) space. Renaissance delivers its products to 16 million students across the world, and its digital solutions are used in more than one-third of US schools and 100-plus countries. As part of its cloud consolidation strategy, Renaissance migrated DnA, its standards-based assessment creation and administration solution, from Google Cloud Platform (GCP) to HAQM Web Services (AWS). After migration, Renaissance realized performance, scalability, and security improvements, all while reducing cloud spend by 30 percent.
Emory University supports AI.Humanity initiative with high-performance computing on AWS
In 2022, Emory launched the AI.Humanity initiative to explore the societal impacts of artificial intelligence (AI) and influence its future development to serve humanity. Emory aims to be a leading advocate for ethical use of AI and a top destination for students and faculty seeking to understand and apply its transformative technologies. Read this blog post to learn how Emory uses HAQM Web Services (AWS) to support the computing needs of AI.Humanity.