AWS Public Sector Blog
Category: Government
ICF helps FDA accelerate the drug labeling review process with AWS machine learning
Within the Food and Drug Administration’s Center for Drug Evaluation and Research, the Division of Medication Error Prevention and Analysis (DMEPA) plays a critical role. DMEPA reviews premarket and postmarket drug labeling to minimize the risk of medication errors. In partnership with DMEPA, Amazon Web Services (AWS) Partner ICF is developing a machine learning (ML) prototype known as the Computerized Labeling Assessment Tool (CLAT). The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process.
Strengthening public safety collaboration with AWS Wickr and the Android Team Awareness Kit
For public safety agencies, secure collaboration and situational awareness are essential to preparedness and response. First responders need secure, uninterrupted communication to help them get oriented quickly and support complex coordination efforts. This post highlights how Amazon Web Services (AWS) secure communication service AWS Wickr integrates with the Android Team Awareness Kit (ATAK) to enhance the efficiency of emergency response with a user-friendly, map-based solution that expands the common operating picture and strengthens cross-team collaboration.
Automate cybersecurity analysis with MBSE workflows enabled by AWS
Digital engineering fundamentally relies on integrating data across model structures by using a digital thread – an underlying framework for integrating data from across traditionally siloed functions that create a consolidated view of the system’s data throughout its lifecycle. The cloud is integral to digital engineering by supporting collaboration across geographically dispersed organizations, automating workflows for data connectivity and trade space analysis in a reliable, scalable, and cost-effective manner. This post describes how Amazon Web Services (AWS) Partner General Dynamics Information Technology (GDIT) has used digital engineering in combination with secure and scalable AWS services, to deliver secure IT systems to a large defense program.
Resiliency imperatives for CIOs with sensitive and highly-available cloud environments in AWS GovCloud (US)
Amazon Web Services (AWS) customers, technology leaders, and government agency CIOs continually balance risk and reward to accomplish many things by using AWS GovCloud (US). They work to transform citizen experiences, save taxpayers money, support sustainable growth, expand market presence, modernize legacy systems, increase security, drive efficiencies, strengthen brand equity, and reduce environmental impact.
NHS England scales review of critical services using AWS Well-Architected Framework
The Amazon Web Services (AWS) Well-Architected Framework is designed to help build resilient, secure, and efficient solutions. Understanding this framework can greatly benefit AWS customers looking to enhance and refine their cloud environments. This post shares insights into how NHS England, responsible for running the vital national IT systems which support health and social care, revolutionized their approach to the AWS Well-Architected Framework review process.
Improving government contact center agent experience with Amazon Connect
Peraton, an Amazon Web Services (AWS) Premier Partner, has worked with multiple government agencies to improve both customer and agent experiences using Amazon Connect. This post explores how Amazon Connect, the cloud contact center solution from AWS, delivers relevant information to agents through a unified experience to help government organizations and agencies of all sizes improve interaction with customers and employees.
Health Electrification and Telecommunications Alliance works with AWS to electrify health facilities in sub-Saharan Africa
The Health Electrification and Telecommunications Alliance (HETA) is Power Africa’s initiative for health facility electrification and digital connectivity in sub-Saharan Africa. Power Africa is part of the United States Agency for International Development (USAID) and harnesses the collective resources of public and private sectors to expand electricity in sub-Saharan Africa. This post describes how AWS and HETA bring together governments, donors, technology providers, and health organizations to develop sustainable business models that can electrify and digitally connect healthcare infrastructure.
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 Amazon 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 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.
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 Amazon Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of hosting LLMs on Amazon Elastic Compute Cloud (Amazon EC2) instances, using the Hugging Face Text Generation Inference (TGI) Container (TGI) for serving custom LLMs.