Category: AWS Step Functions

This post explores how cloud-native architectures built using Amazon Web Services (AWS) help research institutions manage, curate, publish, and analyze complex scientific datasets at scale.

In this post, we break down every KSI theme, categorize each indicator by validation approach, and provide a practical gap analysis framework so you can begin preparing your cloud service offering (CSO) for FedRAMP 20x authorization on Amazon Web Services (AWS).

AWS Professional Services has partnered with the National Environmental Satellite, Data, and Information Service (NESDIS), part of the National Oceanic and Atmospheric Administration (NOAA), alongside GAMA-1 Technologies to broaden the scope and capabilities of the NESDIS Common Cloud Framework (NCCF). This work supports NOAA’s ability to ingest, manage, process, and disseminate critical environmental data. Read this post to learn more.

This post demonstrates how to build serverless workflows on AWS that process such data using AWS Step Functions and integrate with downstream systems that have concurrency limitations.

In this post, we discuss a solution that uses AWS services to improve government communication accessibility and meet federal accessibility requirements. The serverless architecture automates document-to-speech conversion and delivers information to citizens with visual disabilities.

Public entities must make sure that their digital content is accessible for people with disabilities. PDF documents can present challenging accessibility issues. In this post, we discuss an innovative, open source, and AI-driven solution to automate the remediation of these PDFs and bring them into compliance with Web Content Accessibility Guidelines (WCAG) 2.1 standards.

In this blog post, we explore the AI for Teaching & Learning Framework on AWS, and discuss how it is addressing the evolving needs of higher education in the digital age.

Fair Trade USA™ is a nonprofit organization that is committed to eliminating poverty by promoting sustainable development through ethical trade. They work to ensure fair compensation, safe working conditions for farmers and workers, and sustainable farming practices. In this post, you’ll learn how Fair Trade USA leverages Amazon Web Services (AWS) to improve working conditions for farmers and producers around the world.

Learn how Benchmark Education Company worked closely with Amazon Web Services (AWS) to build a grading tool powered by generative artificial intelligence (AI) to help teachers dramatically reduce the time they spend grading open-ended assessments—while maintaining accuracy, privacy, and trust.

Data Review & Transfer Component (DRTC) on Amazon Web Services (AWS) provides a seamless solution to review, approve, and automate sensitive data transfer requests into and out of secure enclaves. In this post, we take you through the benefits of using DRTC to review data and other research artifacts for sensitivity prior to transfer into and out of these secure environments, in particular Trusted Research Environments (TREs).