AWS Public Sector Blog
Category: Technical How-to
AWS AI agents automate citation validation and formatting to save time and instill confidence
Now you can save time and instill confidence in documents more quickly by using Amazon Quick Automate, which creates a set of agents to complete complex business tasks with reasoning. Amazon Quick Automate is a powerful multi-agent automation capability within Amazon Quick Suite that streamlines complex enterprise processes spanning multiple departments, systems, and applications. Read this post to learn more.
Prompt engineering with PartyRock: A guide for educators
This post explores how prompt engineering—the art of effectively communicating with AI—can help educators guide their students in building powerful educational tools using PartyRock.
Unlock enterprise data for generative AI by integrating structured sources with Amazon Bedrock in AWS GovCloud (US)
In this blog post, we demonstrate how public sector organizations can overcome the challenges that emerge when integrating Amazon Redshift and other AWS relational databases with Amazon Bedrock. You’ll learn how to utilize enterprise data to generate AI-powered analytical insights by using natural language queries through Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases. This custom solution enables seamless connectivity between your structured data sources and generative AI applications, eliminating the need for data duplication and significantly reducing development effort.
MOSIP on AWS: Technical deep dive exploring architecture, implementation, and deployment models
Whether you’re a technical architect, systems integrator, or government technology leader, this post provides the technical insights needed to understand and implement MOSIP (Modular Open-Source Identity Platform) on AWS effectively.
Building large language models for the public sector on AWS
This blog post provides a comprehensive overview of the custom large language model (LLM) development lifecycle for public sector use, emphasizing scientific methodology and measurable outcomes.
Building Trusted Research Environments on AWS
Trusted Research Environments (TREs) provide secure access to sensitive data, enabling research while controlling data movement to meet governance requirements. In this post, we review core TRE concepts, examine TRE history and related initiatives, and explore key considerations for successfully deploying a TRE on AWS.
Navigating polymorphic data: A Pariveda guide to AWS Glue and Salesforce integration
This post shares lessons learned by Pariveda, a strategy and technology services firm, during the implementation of a scalable and flexible data integration pipeline for a customer. We review three approaches, all leveraging AWS Glue and Salesforce capabilities, to securely publish data to polymorphic objects and compounded fields.
Simplify external SAML identity provider integration with Amazon Cognito user pools using automated metadata extraction
Public sector organizations and technology vendors across industries—from healthcare and education to public safety and citizen services—struggle with complex identity integration requirements when deploying applications across multiple facilities and jurisdictions. This post demonstrates how organizations can eliminate integration delays using an automated metadata extraction solution built on AWS that provides self-service access to Amazon Cognito user pools metadata through a serverless REST API.
Build your first AI assistant with PartyRock
PartyRock, an Amazon Bedrock playground from Amazon Web Services (AWS), makes creating artificial intelligence (AI) applications simple and engaging—even if you have never written a line of code. With just a few steps, you can build your own AI assistant to help with homework, share with friends, or spark new creative ideas. Read this post to learn more.
Smarter K12 lesson and assessment mapping in education on AWS
In this post, we explore how a graph-based student assessment system powered by AWS services can bring automation, accuracy, and adaptability to the standards-alignment process. With this modern approach, EdTech platforms can deliver scalable, standards-compliant, and personalized learning experiences across K12 learning environments.









