Category: Public Sector

In this post, we share how Zimmer Biomet, working with AWS, Invisibl Cloud, Ansys (part of Synopsys), and Dassault Systèmes, changed what a medical device engineering team can accomplish by using AWS to scale the process of computational simulations. The team started from a previous in silico clinical trial (a clinical trial done on the computer using virtual, realistic patient models) for a shoulder replacement implant. That study, conducted on-premises, took over 3 months to complete 1,042 successful simulations of virtual surgeries. The team then ran a scaled version of the study, with a goal of completing 30,000 successful simulations, start to finish, in under 24 hours on AWS. The run actually delivered 46,662 successful simulations in a single day, about 45 times the original study.

This post walks through what GeDaC built, the build decisions behind it, and why the pattern generalizes well beyond one lab.

This post shows you how to find those delegation failures in 30 minutes and what to do about them. It builds on the delegation model introduced in the Amazon Bedrock AgentCore companion post and turns it into an audit you can run today. This post also shows you how to enforce the boundaries you find on Amazon Web Services (AWS) with Amazon Bedrock AgentCore Policy, AWS Identity and Access Management (IAM), and Amazon Bedrock Guardrails.

This post demonstrates how to use Amazon Elastic Compute Cloud (Amazon EC2) instance attestation to produce cryptographically verifiable Amazon Machine Images (AMIs) for your DevSecOps platform and pipeline—the software factory that builds and delivers your workloads.

Analysts manually reviewing virtual reams of sensitive documents, looking for one key detail, need a more efficient way to search. They know generative AI must be able to do the job, but what they don’t know is whether they can apply generative AI to law enforcement data. You can, and Amazon Web Services (AWS) offers […]

This post will explore how to navigate those constraints and build resilient connectivity patterns that allow agencies to run production workloads on AWS.

This post, which details a collaboration between a national genomics research institute and Temus using Amazon Web Services (AWS), demonstrates the power of combining deep bioinformatics with advanced AI models and machine learning methods in a scalable AWS environment to uncover novel patterns in complex viral genomes. In this post, we explore the details of a scalable proof of concept (POC) pipeline built on AWS that uses an advanced genomic foundation model and unsupervised clustering to transform raw genomic sequences into signals for further research.

In this post, we translate pillars into a deployable cloud foundation, focusing on the key postures of security, identity management, governance, network design, resilience, continuity, auditability, and operational independence.

AI handles triage while analysts handle judgment. And, by coupling automated continuous monitoring with AI system connectivity, recovery time can speed up, resulting in fewer after-hours status calls. Your existing Amazon Web Services (AWS) environment already has access to the capabilities that can make this a reality.

Public sector agencies are rapidly adopting foundation models (FMs) and large language models (LLMs) to streamline operations, improve service delivery, and make data-driven decisions. From chat assistants assisting citizens to AI tools summarizing reports and automating approvals, these technologies are transforming public service delivery.