AWS Public Sector Blog

Category: Technical How-to

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University of Nebraska-Omaha’s ITD Lab migrates to Amazon Aurora with Babelfish, reducing database costs

The IT for Development (ITD) Lab at the University of Nebraska at Omaha previously migrated their ETeams application to Amazon Web Services (AWS) because they did not want to manage the underlying infrastructure. With a limited staff, they could focus more on building new functionality in the ETeams application and less on performing mundane maintenance tasks. While the application was performing well, the ITD Lab’s director wanted to lower the monthly costs. This blog post explores an alternative to an SQL Server database that is just as performant but at a lower cost.

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Build a personalized student companion powered by generative AI on Amazon Bedrock

The advent of generative artificial intelligence (AI) and large language models (LLMs) present a transformative opportunity to address long-standing educational challenges around creating more personalized learning. In this post, we explain how to implement a personalized, self-paced student companion that addresses the challenges of tailored learning support by harnessing the power of AI to create a personalized, adaptive learning companion that caters to the diverse needs and skillsets of learners.

AWS branded background design with text overlay that says "How Pearson improves its resilience with AWS Fault Injection Service"

How Pearson improves its resilience with AWS Fault Injection Service

Chaos engineering, often misunderstood as intentionally breaking the production environment, aligns with the Amazon Web Services (AWS) Well-Architected Reliability pillar. Its purpose is to methodically simulate real-world disruptions in a controlled manner, spanning service providers, infrastructure, workloads, and individual components. In this blog post, we show how Pearson PLC, an AWS education technology (EdTech) customer, successfully implemented resilient architectures through chaos engineering using AWS Fault Injection Service (FIS).

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Cloud incident response at UNSW with digital forensics powered by AWS

In the digital age, universities face increasing cyber threats that put valuable data at risk. The University of New South Wales (UNSW) is taking proactive measures to address this growing concern. Read this blog post to learn how UNSW is collaborating with Amazon Web Services (AWS) to modernize its IT infrastructure and bolster cybersecurity defenses as part of its cloud transformation program.

AWS branded background design with text overlay that says "The benefits of running controlled substance databases with AWS"

The benefits of running controlled substance databases with AWS

Healthcare authorities and providers use state-run controlled substance databases (CSDs) to track prescriptions and identify patients for substance abuse. CSDs help evaluate treatment options, screen patients who may be at risk for drug abuse problems, and make informed decisions about prescribing medication. This post explains how healthcare authorities can leverage CSD data to enhance their decision-making processes within business operations by using Amazon Web Services (AWS).

AWS branded background design with text overlay that says "How to migrate to the new AWS Ground Station Agent launching March 28"

How to migrate to the new AWS Ground Station Agent launching March 28

On March 28, Amazon Web Services (AWS) will release a new version of the AWS Ground Station Agent (agent), which is not compatible with past agent releases. In order to maintain operational continuity of Ground Station environments, agent users must follow the instructions provided in this blog post before upgrading to the March 28 version of the agent.

AWS branded background with text overlay that says "Creating AWS CloudFormation templates for AWS Ground Station DigIF workloads"

Creating AWS CloudFormation templates for AWS Ground Station DigIF workloads

Amazon Web Services (AWS) Ground Station has many different parameters and options to choose from when creating a contact and setting up data delivery. For this reason, it is advised that infrastructure as code (IaC) is used. This post is the first of a two-part tutorial that provides an overview of the resources required to create AWS CloudFormation templates for Digital Intermediate Frequency (DigIF) workloads, using AWS Ground Station to transmit data between the satellite and AWS Cloud environment.

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Singapore Eye Research Institute categorizes retinal diseases using Amazon Rekognition

Amazon Rekognition, a code-free automated machine learning (AutoML) service from Amazon Web Services (AWS), showed impeccable diagnostic performance in categorizing various retinal diseases using optical coherence tomography (OCT) scans. This blog post details the steps to use Amazon Rekognition Custom Labels to train a model that categorizes retinal diseases and the process of training and fine-tuning convolutional neural networks (CNNs), the standard deep learning methodology.

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Improve road safety by analyzing traffic patterns with no-code ML using Amazon SageMaker Canvas

To improve safety and convenience, transportation agencies amass a substantial volume of data. However, these organizations encounter challenges in data accuracy validation due to issues related to data quality and occasional missing information. With the incorporation of new artificial intelligence and machine learning capabilities from Amazon Web Services (AWS), they can take advantage of no-code solutions to identify and address data gaps.

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Estimating physical climate heat risk with NASA Global Daily Downscaled Projections on ASDI

Climate risk consists of transition risk and physical risk. Transition risk represents regulatory and market-based risks while physical climate risk covers climate-related earth processes and its effects on the built and natural environment. In this blog post, we highlight how to use Amazon Web Services (AWS) to enrich your asset portfolio with open climate data hosted in AWS.