AWS Public Sector Blog
Hong Kong Science and Technology Parks Corporation (HKSTP) and Amazon Web Services (AWS) announced the establishment of the first AWS Joint Innovation Center (JIC) in Hong Kong at last fall’s AWS Startup Day. AWS JIC is a collaborative innovation program designed to help enterprises and institutions combine resources, incubate promising startups, and nurture digital talent that further strengthens Hong Kong’s technology ecosystem.
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.
The Amazon Web Services (AWS) Marketplace is a leading software as a service (SaaS) marketplace that houses thousands of third-party software, data, and services that run on AWS. Despite the rapid growth of software marketplace usage in recent years, some state and local government (SLG) purchasers are holding back. This post debunks the most common myths keeping SLG agencies from embracing software marketplaces.
The University of North Carolina (UNC) System is expanding education opportunities for adult learners in the state of North Carolina. The UNC System launched Project Kitty Hawk as a nonprofit education technology (EdTech) startup to meet that goal. Read this post to learn how Project Kitty Hawk partnered with Amazon Web Services (AWS) Professional Services to build an extensible integration platform for EdTech systems that unites service and data integration across its entire network of EdTech and operational systems.
Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on artificial intelligence (AI) skills across various industries globally. The results underscored the need to address low rates of AI fluency among healthcare leaders and employees, and this blog post provides a summary and analysis of the study’s key findings.
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.
According to the Government Accountability Office (GAO), the federal government’s 10 legacy systems most in need of modernization cost about $337 million a year to operate and maintain, which accounts to a $2.4 billion spend on legacy systems by 2030. Read this blog post to learn how organizations can leverage Amazon Web Services (AWS) to maximize value as they evaluate their mainframe modernization strategy.
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.
At the end of 2022, Northwestern University’s Kellogg School of Management had a decision to make. The on-premises SQL server used by faculty and students had reached the end of its life, and the school needed to identify a cost-effective way forward while ensuring that the datasets would remain highly available for researchers to use on demand. After weighing various options, Kellogg worked with Amazon Web Services (AWS) to create a data lake that fit its unique needs.