AWS Public Sector Blog
Category: Public Sector
Empowering underserved youth with AI career support: KLCI’s journey on AWS
to meet this demand.
The Kayode Alabi Leadership and Career Initiative (KLCI Africa), a nonprofit social enterprise headquartered in Lagos, Nigeria, set out to solve this problem using generative AI and Amazon Web Services (AWS). In this post, we describe how KLCI Africa built Rafiki AI, a WhatsApp-based generative AI career advisor that delivers personalized career guidance to underserved and displaced youth in under 2 minutes.
Transforming Public Sector Procurement with Agentic AI on AWS
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).
Turn stored data into AI-ready insights with Amazon S3
In this post, we walk through three extended capabilities of Amazon S3: Amazon S3 Metadata, Amazon S3 Vectors, and Amazon S3 Tables and explore how each maps to real challenges government agencies face today.
Implementing per-user token guardrails for Amazon Bedrock in government agencies
This post presents two complementary patterns for implementing per-user token guardrails on Amazon Bedrock from Amazon Web Services (AWS).
The 1000 Genomes Project, reanalyzed: A new analytical baseline for human genomics
In this post, you can learn what distinguishes this reanalyzed dataset from prior 1000 Genomes Project call sets, how to access the data, and how to explore it using both bioinformatics tools and a natural-language query interface built on Amazon Bedrock.
Accelerating geospatial work with Kiro: One AI interface for the geo stack
This post introduces the Geospatial Power Pack, a Kiro power package that turns Kiro into a unified, AI-assisted geospatial workspace. Kiro is an agentic development environment created by Amazon Web Services (AWS). It helps developers and teams turn prompts into executable specs, validate code correctness to find bugs that unit tests miss, and build across large codebases with parallel agents that learn from every session.
1,143 datasets and counting: The Registry of Open Data on AWS hits a milestone
The Amazon Web Servies (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets freely available for analysis, helping researchers and developers worldwide access critical data without cost barriers.
How UTHealth Houston built HIPAA-compliant generative AI at scale: iDFax’s 2-year journey with Amazon Bedrock
This post is a follow-up to our March 2025 blog post, UTHealth Houston’s iDFax transforms medical fax management with Amazon Bedrock, which introduced the iDFax pilot and its early results.
How eduroam empowers its community through real-time analytics with Amazon Quick Sight
For the more than 2,800 administrators across approximately 1,200 participating institutions in the US, that means access to near daily provided to them through Amazon Quick Sight on Amazon Web Services (AWS) by the eduroam team at Internet2. However, this wasn’t always the case. This post walks through how the eduroam team modernized their data reporting pipeline, the architecture behind it, and the impact it’s had on institutional engagement.
The NBDC sandbox: How the Masonic Institute for the Developing Brain built a secure cloud environment to accelerate brain development research with AWS
The Adolescent Brain Cognitive Development (ABCD) and HEALthy Brain and Child Development (HBCD) studies, the largest longitudinal brain development studies in U.S. history, are producing transformative insights, but the data driving those discoveries require greater security and have grown so large that many research teams struggle to access and analyze them.









