AWS Public Sector Blog

Tag: Amazon SNS

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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.

AWS branded background design with text overlay that says "NHS England scales review of critical services using AWS Well-Architected Framework"

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.

AWS branded background design with text overlay that says "Wake Forest University builds novel, robust alumni and student app on AWS"

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. 

AWS branded backgroun with text overlay that reads "Lessons learned from Intelsat's successful domain migration with AWS"

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.

AWS branded background with text overlay that says "USAID uses Amazon Transcirbe to publish speeches in minutes"

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.

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real time and drive actionable insights on a single dashboard. By using artificial intelligence (AI) and machine learning (ML) services from AWS, Medicaid agencies can create this streamlined solution. In this walkthrough, learn how to extract, analyze, and interpret relevant information from paper-based Medicaid claims forms.

Automatically extracting email attachment data to reduce costs and save time for local public health departments

Local public health departments must notify public health agencies, like state health departments or the Centers for Disease Control and Prevention (CDC), of reportable conditions. These departments receive various types of reports of healthcare conditions through email, in addition to more traditional methods such as mail, fax, or phone calls. Local health departments can dramatically reduce the time and costs associated with manually processing email attachments and improve processing efficiency using automation. In this blog post, learn how to create an automated email attachment ingestion, storage, and processing solution powered by artificial intelligence (AI) and machine learning (ML) services from AWS.

How Livingston Parish prepares for natural disasters by improving resiliency in the cloud

Natural disasters are devastating, often resulting in loss of life, massive property damage, and damage to the critical infrastructure that powers emergency services. This can prompt public sector organizations to consider building more resilient infrastructure. Such was the case for the 911 system in Livingston Parish, Louisiana, an agency that dispatches for 21 public safety agencies including law enforcement, fire, and emergency medical services, and averages over 325 calls for service per day. After a major flood in 2016 knocked out their 911 system, they worked with AWS Partner TailorBuilt Solutions, LLC. to use AWS to become resilient against disaster, reducing service interruptions and improving response times.

Nara Space uses AWS to improve satellite image quality up to three times with deep learning

Nara Space Technology is a South Korea-based startup that builds nano satellite constellations and provides satellite data services to let customers quickly identify and address issues like changing climate conditions and disaster recovery to improve life on Earth. Nara Space provides solutions for nano satellite and small spacecraft system design, integration, development, and testing; enables satellite data analytics based on deep learning; and improves the visual quality of standard satellite imagery with its Super Resolution core technology. To do this, Nara Space uses AWS for secure, flexible, scalable, and cost-efficient cloud solutions.