AWS Public Sector Blog
Tag: Amazon SNS
Transforming electronic case reports with generative AI: Unlocking faster public health responses
For years, public health agencies have relied on paper-based case report forms to supplement the electronic laboratory reports (ELRs) they receive for reportable diseases. While ELRs provide positive test results, the accompanying case reports give public health agencies critical clinical, demographic, and risk factor data needed for effective disease investigation and response. However, the sheer volume of COVID-19 cases quickly overwhelmed this manual, paper-based process. Prior to the pandemic, the Office of the National Coordinator for Health IT (ONC) and the Centers for Disease Control and Prevention (CDC) developed standards for an electronic case report (eCR) form that could be automatically sent to public health agencies from providers’ electronic health records (EHRs).
Using customer-provided ephemerides with AWS Ground Station
Amazon Web Services (AWS) Ground Station is a cloud-based service that provides you with an opportunity to perform communication sessions with your satellite without spending a fortune on your own ground station infrastructure. AWS Ground Station balances between providing a ready-made solution and tailoring the service to meet the unique needs of each customer. One of the ways to customize the service is to use customer-provided ephemerides (CPE) for antenna targeting.
Satellite mission operations using artificial intelligence on AWS
Cognitive Space is a leading Amazon Web Services (AWS) Partner delivering intelligent automation to satellite constellation operations using the CNTIENT platform. The system uses AWS-powered artificial intelligence (AI) decision making to handle highly complex and dynamic satellite tasking requirements, and demanding mission requirements. This blog post provides technical guidance for building and operating mission operation centers (MOCs) on AWS.
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.
Track application resiliency in public sector organizations using AWS Resilience Hub
The Amazon Web Services (AWS) Resilience Hub provides you with a single place to define your resilience goals, assess your resilience posture against those goals, and implement recommendations for improvement. In this post, we discuss how we can track the resiliency of software applications and infrastructure using AWS Resilience Hub to provide “always available” services and monitor changes to the application availability.
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.
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 Amazon Web Services (AWS) to build a solution that brings its whole community closer.
Lessons learned from Intelsat’s successful domain migration with AWS
In 2022, Intelsat — operator of one of the world’s largest integrated satellite and terrestrial networks and a leading provider of in-flight connectivity — collaborated with Amazon Web Services (AWS) to complete a post-acquisition domain migration from Gogo Commercial Aviation without impacting inflight experiences and other operations. This blog post shares the lessons learned from Intelsat’s successful domain migration with AWS.
USAID uses Amazon Transcribe to publish speeches in minutes
After migrating to the cloud, USAID knew it could streamline its transcription process of its leader’s public remarks with cloud technology. Read this blog to learn how USAID created a solution with Amazon Transcribe, an artificial intelligence (AI)-powered service from Amazon Web Services (AWS), in collaboration with AWS Partner CloudShape that helps the agency transcribe and publish remarks in minutes.
How to detect wildfire smoke using Amazon Rekognition
Since wildfires can double in size and intensity every three to five minutes, early detection and reduced response times are essential. Cloud technologies, including artificial intelligence (AI) and machine learning (ML), can help with this. Learn a high-level architecture to create a solution with AWS that uses AI to identify and classify wildfire smoke imagery and then rapidly alert and inform first responders about the location and condition of a fire incident.