AWS Public Sector Blog

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).

Learn how NJIT worked with Amazon Web Services (AWS) and TEKsystems Global Services (TGS) to migrate more than 200 essential virtual servers to the AWS Cloud—70% faster than typical timelines.

The aerospace industry represents one of the most complex regulatory environments for software development, where system failures can result in catastrophic consequences including loss of human life and multibillion-dollar assets. In this blog post, learn how Blue Origin operates within this framework, in which software systems control every aspect of rocket propulsion, navigation, life support, and mission-critical operations.

This blog is the first in a three-part series that explores how AWS is transforming genomic research through democratized data access, sovereign-by-design outbreak intelligence platforms, and population-scale biobanks that enable global collaboration while maintaining data security and privacy.

Learn how the Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS.

Learn how the pace of change in AI is reshaping how governments approach national security, economic progress, scientific discovery, and critical infrastructure.

Learn more AWS Imagine for Nonprofits conference that recently marked a milestone: 10 years of bringing together nonprofit leaders, technologists, and mission-driven innovators to explore how technology can accelerate social and environmental impact.

This post outlines an AI-ready framework for use by higher education institutions worldwide. The framework takes a holistic approach to integrating AI across campuses while addressing the critical challenges of data governance, security, academic integrity, workforce readiness, and equity.

A joint research report from Pearson and Amazon Web Services (AWS) finds that AI readiness is not a single skills gap waiting to be filled. It is a systemic breakdown in the transition from learning to work, driven by six frictions that compound on one another.