Category: Technical How-to

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.

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).

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.

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).

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.

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.

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.

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.

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.

Credit unions face unique security, regulatory, and compliance obligations. These requirements mean that a sound cybersecurity posture is essential for credit unions across both cloud workloads and on-premises technology. Read this blog post to learn how Amazon Web Services (AWS) can help credit unions prepare for audits, assess security posture, and produce documentation for state or federal regulators.