AWS Public Sector Blog
Category: Amazon Bedrock
Accelerating government innovation: Amazon Bedrock models get FedRAMP High and DoD IL-4/5 approval in AWS GovCloud (US)
In today’s rapidly evolving security landscape, the technological edge isn’t just an advantage—it’s a necessity. We’re thrilled to share a milestone that will transform how our government customers harness the power of artificial intelligence (AI): AWS is the first cloud provider to achieve FedRAMP High and Department of Defense (DoD) Cloud Computing Security Requirements Guide Impact Level 4 and 5 authorizations for Anthropic’s Claude and Meta’s Llama AI foundation models.
Four steps government agencies can take to achieve meaningful modernization
Drawing on the extensive experience AWS has in partnering with public sector organizations worldwide, here are four transformative steps agencies can take to drive meaningful modernization and shape the future of government service delivery.
How to estimate Amazon Bedrock costs for public sector applications
As state and federal organizations increasingly explore generative AI implementations using Amazon Bedrock, they face a critical challenge: accurately estimating the costs associated with these workloads. In this post, we cover details about estimating costs on Amazon Bedrock.
Enhancing public safety operations with Amazon Bedrock
In this post, we discuss a noise complaint solution that uses an Amazon Bedrock Agent to serve as an intelligent interface between citizens and the computer-aided dispatch (CAD) system.
North Carolina Division of Employment Security modernizes customer services with generative AI on AWS
Building on an eight-year cloud transformation journey with AWS, The North Carolina Department of Commerce’s Division of Employment Security (NCDES) is launched one of the first generative artificial intelligence (AI)-powered, public-facing solutions in the state: an intelligent virtual assistant that helps individuals navigate the unemployment insurance claim application process. Read this blog post to learn more.
University of British Columbia Cloud Innovation Centre: Prototyping generative AI solutions using AWS
The University of British Columbia (UBC) Cloud Innovation Centre (CIC) has become a hub for innovation by prototyping generative AI applications in collaboration with public sector sponsors. This post highlights how the UBC CIC uses AWS to accelerate generative AI development, sharing lessons learned, tools used, and actionable insights you can apply to your projects.
How public safety agencies can meet AI data security requirements
In this post, we discuss the crucial factors public safety agencies should consider when choosing a generative AI provider and explain how AWS can enable a secure, protected system.
HSR.health and AWS to pilot test Amazon Nova for healthcare AI
HSR.health, a pioneer in geospatial health risk prediction, has partnered with AWS to launch a pilot project testing the performance, process, and pricing of fine-tuning the newly announced Amazon Nova foundation model for advanced health risk prediction. Read this post to learn more.
Chaos engineering made clear: Generate AWS FIS experiments using natural language through Amazon Bedrock
In this post, we demonstrate how to use the generative AI capabilities of Amazon Bedrock to streamline the creation of AWS Fault Injection Service (FIS) experiments.
From beta to breakthrough: Scaling health AI from POC to production for everyday impact
In this post, we discuss Health Kaki, a generative AI health companion using the Amazon Bedrock foundation model (FM), and highlight how the team that developed Health Kaki navigated the challenges of scaling from concept to real-world implementation.