Category: Amazon Elastic Container Service

Within the Food and Drug Administration’s Center for Drug Evaluation and Research, the Division of Medication Error Prevention and Analysis (DMEPA) plays a critical role. DMEPA reviews premarket and postmarket drug labeling to minimize the risk of medication errors. In partnership with DMEPA, Amazon Web Services (AWS) Partner ICF is developing a machine learning (ML) prototype known as the Computerized Labeling Assessment Tool (CLAT). The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process.

Renaissance Learning is a global leader in the pre-K–12 education technology (EdTech) space. Renaissance delivers its products to 16 million students across the world, and its digital solutions are used in more than one-third of US schools and 100-plus countries. As part of its cloud consolidation strategy, Renaissance migrated DnA, its standards-based assessment creation and administration solution, from Google Cloud Platform (GCP) to Amazon Web Services (AWS). After migration, Renaissance realized performance, scalability, and security improvements, all while reducing cloud spend by 30 percent.

The University of Pittsburgh, the University of Illinois Urbana-Champaign (UIUC), the University of California Davis Health Cloud Innovation Center (UCDH CIC)—powered by Amazon Web Services (AWS)—and the AWS Digital Innovation (DI) team have built a prototype that uses machine learning (ML) and generative artificial intelligence (AI) to transform the public health communications landscape by giving officials the tools they need to fight medical misinformation, disinformation, and malinformation.

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).

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.

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.

More than 180 courts compose the Nebraska Judicial Branch, which together handle more than 285,000 cases annually and all of the case exhibits that come with such a workload. This blog post highlights the Judicial Branch’s journey to building an electronic exhibits system on Amazon Web Services (AWS).

Many public sector customers are interested in building secure, cost-effective, reliable, and highly performant applications. Technologies like containerization and serverless help customers migrate and modernize their applications. In this blog post, learn how public sector customers use offerings from AWS like AWS Lambda, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS) to build modern applications supporting diverse use cases, including those driven by machine learning (ML) and generative artificial intelligence (AI). If you want to learn more on this topic, please register to attend the webinar series, Build Modern Applications on AWS.

Forrester estimates that data-driven businesses are growing at an average of more than 30 percent annually. This is also happening at education technology companies. With new data sources have emerging, including real-time streaming data from virtual classrooms, mobile engagement, unique usage, and new learners, these data sources are shaping the next generation of EdTech products that engage learners meaningfully around the world. Learn how four AWS EdStart Members are utilizing data to power their solutions.

Several smart cities use FIWARE, an open source framework supporting the development of smart solutions. FIWARE leverages sensing data from Internet of Things (IoT) devices, then collects, stores, and analyzes data with an API call. One FIWARE component, Orion Context Broker, gathers context information from diverse sources such as mobile apps, IoT devices, and social networking services, and manages the lifecycle of this context information, from registrations, updates, queries, and subscriptions. In this blog post, we address building Orion Context Broker on AWS. Learn how to deploy Orion Context Broker and Cygnus on AWS with AWS Cloud Development Kit (AWS CDK) and Docker Compose quickly.