AWS Public Sector Blog

Tag: Lambda

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.

Unlock third-party data with API-driven data pipelines on AWS

Unlock third-party data with API-driven data pipelines on AWS

Public sector organizations often utilize third-party Software-as-a-Service (SaaS) to manage various business functions, such as marketing and communications, payment processing, workflow automation, donor management, and more. This common SaaS landscape can lead to data silos where data becomes isolated in disparate systems and difficult to centralize for business insights. If existing SaaS connectors are not available, public sector organizations can use AWS to build an API-driven data pipeline to consolidate data from SaaS platforms offering open APIs. In this post, learn how to build an API data pipeline on AWS.

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.

Singapore’s OneNUHS App uses AWS to help patients take ownership of their health

Singapore’s National University Health System (NUHS) collaborated with Integrated Health Information Systems (IHiS), Singapore’s technology agency for the public sector, to develop the OneNUHS App. The mobile healthcare application extends healthcare services beyond the hospital, providing telehealth services like video consultations with doctors and more. To accelerate time-to-launch, save costs, and support reliable access for Singaporeans, the OneNUHS app uses AWS.

Modernizing public sector applications using serverless and containers

Application modernization helps public sector customers innovate faster with resilient, highly available, and scalable applications. Serverless and containers services support customers in accelerating time to market and migrating existing applications to AWS, and they can decrease an organization’s total cost of ownership (TCO). In this blog post, learn how public sector customers use AWS serverless and containers technology to modernize their applications.

How to create a cybersecurity analytics platform with AWS analytics and machine learning

Cybersecurity analytics is a systematic methodology designed to collect, ingest, process, aggregate, and analyze security events. This methodology empowers organizations to proactively perform security investigations, powered by advanced analytics and machine learning (ML), which help mitigate cyber issues more effectively and efficiently at scale. Learn about the core components of a cybersecurity analytics framework and how organizations can use AWS to design a cybersecurity analytics platform with analytics and ML services.

How SkillsFuture Singapore provides access to skills training resources and more with AWS

SkillsFuture Singapore (SSG), a statutory board under the Ministry of Education (MOE), aims to promote a culture of lifelong learning in Singapore and strengthen the country’s ecosystem of industry-relevant training and adult education. SSG provides access to high quality, industry-relevant training, and jobs and skills insights. To power their digital training portal and make sure every Singaporean has access to training resources, education opportunities, and more, SSG uses AWS.

How one nonprofit commemorates enduring sibling relationships with AWS

SibsForever is a nonprofit created to support and provide a safe community for people who have lived through the loss of a sibling. SibsForever.org is a progressive web application that runs on AWS and functions as an online memory book for surviving siblings. By sharing their stories and experiences, the SibsForever.org community has become a safe and supportive space for surviving siblings. In this guest post from SibsForever founder Audree Thurman, Audree describes why she decided to work with AWS to create her nonprofit’s web application, and how she built SibsForever in the cloud.

How the US DOJ Tax Division built a remote telework application in six weeks with AWS

In mid-February of 2022, the US federal government began planning the return-to-office after the COVID-19 pandemic. The US Department of Justice (DOJ) Tax Division needed to quickly build and launch a telework authorization application by April 1, which would help their more than 500 attorneys, paralegals, and administrative personnel request a hybrid work arrangement—all while keeping sensitive information compliant and secure. To do this, the DOJ Tax Division worked with AWS to build an enterprise-level telework approval application in less than two months, before the Division’s re-entry in mid-April of 2022.

Building a resilient and scalable clinical genomics analysis pipeline with AWS

At the Baylor College of Medicine Human Genome Sequencing Center (BCM HGSC), we aim to advance precision medicine and research in genomics. In that effort, we joined the ambitious All of Us Research Program funded by the National Institutes of Health (NIH) to help deliver genomic data to over one million individuals across the United States. In early 2019, we estimated that processing whole genome samples for this megaproject would imply a scale-up of over four times the production workload of our center. We used AWS to support our new pipeline demands, which saved time, reduced costs, and created new opportunities for future development.