Category: Public Sector

This blog share how if your agency is managing millions of unstructured documents, from eligibility records to case files, this post introduces how DMI Document AI, built on Amazon Bedrock, can help you automate document processing, reduce backlogs, and redirect your team toward higher-value mission work.

Learn how the University of Maryland Athletics Department has achieved a remarkable transformation in how it understands and serves its fans, partnering with Amazon Web Services (AWS) to build a unified data platform that’s delivering measurable results across operations, insights, and revenue generation.

This blog post walks you through a practical framework for understanding why this happens and what you can do about the message “This content has been blocked by our content filters” while using a foundation model (FM) on Amazon Bedrock, or a model has otherwise refused to perform a task, you’re not alone.

This post explores the implications of these developments and what they mean for businesses in the defense sector. This includes organizations in aerospace, defense satellite, healthcare, manufacturing, and higher education that conduct business with the Department of Defense (DoW).

In this blog post, you’ll see how Kiro, an AI-assisted development environment powered by Amazon Bedrock, helps nonprofit technical teams close that knowledge gap from both sides.

Learn more about CARA – an intelligent, multilingual, and judgment-free digital assistant that makes it easier for families to find and connect with the right support anytime, anywhere.

This post brings guidance on Customer Responsibility Matrices (CRMs), authorization boundary definitions, and multi-provider control ownership into a single actionable framework for defense contractors preparing for third-party assessment.

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.

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).