Category: Technical How-to

Diabetes is a major chronic disease that often results in hospital readmissions due to multiple factors. An estimated $25 billion is spent on preventable hospital readmissions that result from medical errors and complications, poor discharge procedures, and lack of integrated follow-up care. If hospitals can predict diabetic patient readmission, medical practitioners can provide additional and personalized care to their patients to pre-empt this possible readmission, thus possibly saving cost, time, and human life. In this blog post, learn how to use machine learning (ML) from AWS to create a solution that can predict hospital readmission – in this case, of diabetic patients – based on multiple data inputs.

Citizens want to report issues to their local governments in a fast and simple manner and not have to worry about identifying the right government agency or phone number—for instance, if a fire hydrant is broken, or a road sign has fallen over. In this blog post, learn how to set up a solution with AWS deep learning services that creates a fluid experience for reporting and addressing these issues.

Many public sector customers in government, healthcare, and life sciences have data lakes that contain addresses (e.g., 123 Main Street). These customers frequently ask how they can quickly visualize these addresses on a geographic map to get a more intuitive understanding of how these addresses are distributed. In this post, learn how to use Amazon Athena and Amazon Location Service to perform ad hoc geocoding on an example dataset and visualize these geocoded addresses on an Amazon QuickSight map.

Healthcare providers and healthcare systems want to modernize their healthcare data exchanges so they can better analyze and gain more insight from their clinical data. In this walkthrough, learn how to use AWS to migrate legacy healthcare messaging data into Amazon HealthLake, which can use artificial intelligence (AI) and machine learning (ML) to discover meaningful and actionable healthcare information embedded in unstructured text.

Learn how government agencies can use AWS to build data interchange zones to automate their ability to ingest and validate data from other agencies or external entities in a secure manner. Automating this process can help agencies save time to focus on more strategic aspects of their mission.

Many researchers use MATLAB® from MathWorks, a programming and numeric computing platform, to analyze data, develop algorithms, and create models. As a researcher, you can leverage AWS to expand available computational resources right from your desktop or laptop. In this blog post, we walk through how to integrate MathWorks Cloud Center with AWS in order to accelerate scientific computation and innovation.

Modern applications built using microservices architectures improve customer experience by dramatically reducing the risk of failures in a web application. In this blog post, we present a sample AWS reference architecture of a microservices application built using an architecture framework based in AWS GovCloud (US), which can help support adherence to a Federal Risk and Authorization Management Program (FedRAMP) High Baseline.

Moodle is a popular open source learning management system (LMS). Many education institutions are deploying and running Moodle on a physical hardware or virtual machine (VM) environment. They are looking to improve the scalability of their Moodle application to simplify operations and monitoring, and also optimize operating costs. One way to approach this is to use containers technology. In this blog post, learn how to deploy and run Moodle using serverless containers technology on AWS.

Virtualizing the satellite ground station with cloud technology can increase scalability, flexibility, and operational agility for satellite communications (satcom) operations. This blog post describes how AWS can help satcom customers virtualize their ground stations that are directly connected to satellite antenna systems. This post details the benefits of decoupling satellite ground station hardware and software components to improve scalability and flexibility. This post also presents a reference architecture to virtualize the satcom ground segment after the satellite signal is digitized at both ends of communication.

To help our Australian customers, AWS provides pre-built conformance packs for the Australian Cyber Security Centre (ACSC) Essential Eight Maturity Model and the ACSC Information Security Manual (ISM). The ACSC’s Essential Eight was first published in 2017 and is a set of prioritised security mitigation strategies designed to help protect organisations against various security threats. In this blog post, I walk you through how to set up a conformance pack in AWS Config that is designed to help you implement and track the ASCS Essential Eight model.