Category: Amazon Simple Storage Service (S3)

The Association of Schools and Programs of Public Health (ASPPH) — a nonprofit association with a vision for improved health and well-being for everyone, everywhere — partnered with Amazon Web Services (AWS) Professional Services (AWS ProServe) to move their curated data to a managed data lake on AWS. In this blog post, we share how ASPPH and AWS designed and built the data lake and the results of moving to a modern, scalable data architecture.

Common Securitization Solutions (CSS), a joint Freddie Mac and Fannie Mae venture launched in 2013, supports a cornerstone of the American economy: home ownership. CSS built and now operates the largest and most advanced mortgage securitization platform in the US, supporting Freddie Mac and Fannie Mae’s 70 percent market share of the industry with flexibility, scalability, and security at its core. Read this blog post to learn how CSS uses Amazon Web Services (AWS) to power their solutions in the cloud.

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.

Guernsey County in Ohio selected Amazon Web Services (AWS) Partner Carbyne to help transition its 911 call center from analog to a digital interface that is smartphone-friendly and allows operators to communicate with callers via live video. Read this blog post to learn more.

In 2021, the Indiana Department of Correction (IDOC) awarded a contract to Mi-Case, an Amazon Web Services (AWS) Partner, to replace its legacy systems managing case data across the state’s corrections facilities. The project kicked off in February 2021 and the new web and cloud-based offender management system (OMS) went live in May 2023. Read this blog post to learn why implementations like it routinely take several years and why this project was different.

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.

To provide students across India with the highest quality learning experience, the education technology (EdTech) company Metis leveraged Amazon Web Services (AWS) to power its interactive live streams. Using Amazon Interactive Video Service (Amazon IVS), Metis now supports an average of 50,000 unique viewers daily across 700 weekly online classes.

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.