AWS Public Sector Blog

Tag: AWS CloudFormation

aerial photo of doctor on laptop at desk with stethescope and chart

Adding an ingress point and data management to your healthcare data lake

Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. In my previous post, “Getting started with a healthcare data lake,” I shared how to get started using data lakes in managing healthcare data and what a good “first sprint” architecture might look like. Here, I walk through building your first solution on AWS using a healthcare data lake as our example workload.

FamilyBookForm

Social emotional learning: Using cloud technology to support student learning

Research shows that social emotional learning (SEL) increases student engagement at school, increases academic achievement, and helps students to be more successful in all aspects of life. FamilyBookForm, an AWS EdStart Member, aims to encourage SEL through their online book creation tool that allows K12 students to interview members of their family or community to collect spoken stories, in any language. The tool uses speech-to-text voice recognition technology and is powered by the AWS Cloud.

AWS Raise the Bar on ransomware

Raising the bar on storage: How to improve your disaster recovery, ransomware prevention, and backup strategy

Data is an organization’s critical asset, which is why safeguarding it against ransomware attacks, natural disasters, emergencies, or technical failures is a top priority. Legacy data storage, such as tape, makes sharing and protecting data costly and time consuming. AWS released a series of educational webinars and whiteboarding videos that discuss how to raise the bar on data protection in the AWS Cloud.

How to build a chatbot for your school in less than an hour

Your students have questions and you want to get them answers quickly and easily. With the rise in remote learning and education, virtual solutions such as chatbots are one way to make information available on-demand—anywhere and anytime. Did you know that you can create a Q&A chatbot for your educational institution in less than an hour?

Dr. Nicholas Chilton and his research group at The University of Manchester’s Department of Chemistry in the School of Natural Sciences.

How researchers at The University of Manchester explore magnetic properties of molecules with the AWS Cloud

Dr. Nicholas Chilton and his research group at The University of Manchester’s Department of Chemistry in the School of Natural Sciences investigate the magnetic properties of molecules for high-density storage, quantum computing, and applications like MRI contrast agents. He turned to the cloud when the university’s onsite HPC cluster couldn’t provide the high-throughput compute power needed to answer his research questions.

Dot net guy at computer

Five best practices for building .NET on AWS

Amazon Web Services (AWS) knows how to run .NET applications, and provides .NET developers with resources for building, testing, deploying, and running their .NET applications. Watch our on-demand webinars to learn about migrating and building serverless or container-based apps on AWS. For .NET developers new to AWS, it is important to know about the tools, […]

genomics DNA image

Tracking global antimicrobial resistance among pathogens using Nextflow and AWS

The Centre for Genomic Pathogen Surveillance (CGPS) is based at the Wellcome Genome Campus, Cambridge and The Big Data Institute, University of Oxford in the United Kingdom. Much of its work involves collaborating with laboratories around the world to enhance genomic surveillance by using big data, engineering, training, and genomic capacity building. Ultimately, the Centre hopes to enable the linking and real-time interpretation of data globally to track pathogens and antimicrobial resistance at an affordable rate. Typically, spikes in cost for research are a common challenge for laboratories. With the cloud, the team wanted to mitigate their costs, and particularly those of their partners in low and middle-income countries, by exploring the Amazon Web Services (AWS) Cloud’s pay-as-you-go infrastructure.

Driving sustainability through youth engagement

Today, speakers at the 24th World Scout Jamboree (WSJ) will introduce nano, a new gamified app developed on the Amazon Web Services (AWS) Cloud that encourages youth around the world to adopt daily sustainability practices to help improve our planet. The Scouts are also launching #ScoutsRecycle, a campaign that leverages the nano app for sustainability. Through nano, scouts will be able to measure the impact of their efforts by calculating the CO2e emissions avoided through #ScoutsRecycle.

Quickly deploy a production-ready REDCap environment on AWS

AWS CloudFormation templates are now available for nonprofit organizations to deploy a production-ready REDCap environment in 20 minutes, increasing researchers’ agility and reducing the cost of electronically capturing research survey information. This automation deploys the latest REDCap software on secure, highly available AWS infrastructure and includes the ability to utilize the REDCap “Easy Upgrade” feature. With this automation and architecture, researchers can deploy and manage REDCap with a click of a button, without the need for specialized IT skills

Estimating Hurricane Wind Speeds with Machine Learning

Better estimates of hurricane wind speeds can lead to better decisions around evacuations and general hurricane response planning, saving both lives and property. Hurricane windspeed estimates are currently made using the manual Dvorak technique. The National Hurricane Center releases them every three to six hours. Artificial intelligence (AI) experts with the IMPACT team at NASA’s Marshall Space Flight Center and Development Seed created the Deep Learning-Based Hurricane Intensity Estimator to automate this process.