Category: AWS Fargate

In this post, we describe how ITHAKA and Amazon Web Services (AWS) collaborated to build an on-demand PDF accessibility pipeline that remediates documents when users need them, serving researchers while using nonprofit resources responsibly. For organizations managing a large document collection under accessibility compliance deadlines, this post shows there is an affordable, practical path forward that doesn’t require converting an entire library upfront.

This post describes how Floy built an FM-based AI platform on AWS, from training and inference to clinical integration, that scales to meet the demands of modern radiology.

This post explores how an agentic AI architecture on Amazon Web Services (AWS) modernizes the procurement lifecycle from solicitation to proposal evaluation while maintaining compliance with government regulations including United States of America FAR (Federal Acquisition Regulation),United States of America DFARS (Defense Federal Acquisition Regulation), and Canadian procurement frameworks (Public Service Procurement Canada (PSPC) /Shared Services Canada (SSC).

In this blog, learn how NASA’s Earth Science Data and Information System (ESDIS) is migrating over 170 petabytes of Earth science data to AWS to provide equitable access to researchers worldwide, eliminating the “data fortress” problem while achieving significant cost efficiencies through intelligent tiering, serverless architecture, and economies of scale. The post also details how NASA made over 6,000 Earth Science collections visible in the Registry of Open Data on AWS, enabling seamless discovery and analysis for the broader AWS user community.

In this post, we walk you through how FRESH is translating cloud-enabled analytics into practical tools that support resilient, trusted food systems, starting with a deep dive into dynamic shelf-life modeling. Specifically, we detail how AWS services such as Amazon Simple Storage Service (Amazon S3), AWS Glue, and Amazon SageMaker AI are used to build and train predictive models.

Learn more about the Digital Research and Curation Center (DRCC), the group within the Sheridan Libraries that builds and manages digital infrastructure for open scholarship, migrated DSpace to the cloud with Amazon Web Services (AWS).

This post shares how Leidos enhanced ManagedX by adopting multi-agent workflow patterns using the open source Strands Agents SDK, and how AWS Enterprise Support helped guide that evolution.

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.

Read this post to learn about AWS Wickr, a messaging and collaboration service that protects messaging, calling, file sharing, screen sharing, and location sharing with 256-bit end-to-end encryption (E2EE). Wickr combines advanced security for sensitive communications, administrative controls for user and policy management, and data retention for auditing and regulatory needs.

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.