Category: Experience-Based Acceleration

Generative artificial intelligence (AI) has captured the imagination of organizations across industries, promising to revolutionize workflows and drive innovation. As public sector entities explore this transformative technology, a critical challenge emerges: identifying and prioritizing high-value use cases that align with specific business objectives and delivering measurable outcomes. In this post, we present an Amazon Web Services (AWS) framework to help public sector organizations navigate generative AI adoption and unlock its true potential.

The International University of Applied Sciences (IU) maintains 90 percent of its course content online. Through its online programs, IU aims to give people worldwide access to highly individualized education, enabling them to further enrich their lives. The large majority of IU’s infrastructure runs on Amazon Web Services (AWS). Read this post to learn why IU worked directly with AWS experts through the Experience-Based Acceleration (EBA) program to expand their automated video generation pipelines to be more scalable, modular, and robust.

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.