Category: Best Practices

AWS recommends that organizations prepare to recover workloads in case of cybersecurity incidents or business continuity events such as technical or natural disasters. In this post, we offer guidance and strategies for public sector organizations to use AWS infrastructure to operate resilient systems in the cloud.

In this post, we explore how to build a sophisticated meeting transcription and analysis platform using AWS services, designed specifically for the scientific community. Our solution combines the power of AWS Transcribe, Amazon Bedrock, and other Amazon Web Services (AWS) services to create an intelligent tool that transforms how researchers document and analyze their discussions.

During the 2025 AWS Summit in Washington, DC keynote address, Amazon Web Services (AWS) and Pearson showcased the strength of their expanded collaboration to accelerate the development of AI-powered, personalized learning solutions.

A newly released guide by AWS titled “Resilient Healthcare through Cloud: A Strategy and Policy Guide” provides a comprehensive framework for enhancing healthcare resilience through cloud computing while meeting regulatory requirements and improving patient outcomes. Read this post to learn more.

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

As more and more public sector organizations deploy generative AI workloads, we are increasingly asked what can be done to make sure that these workloads are resilient to failures. In this post, we discuss the key factors that mission-based organizations should consider so that their generative AI workloads are resilient to failures.

By using generative AI, government agencies can analyze large amounts of data to identify patterns and insights, streamline manual processes, and deliver faster, personalized, more accessible services to citizens while maintaining the highest standards of accuracy and compliance. Read this post to learn more.

Read this post to learn about a new white paper produced by Alliance for Innovative Regulation (AIR), and supported by AWS, which offers guidance that supervisory authorities can use to implement Supervisory Technology (SupTech).

International growth represents a huge potential for AWS Partners. This post covers technical considerations for partners expanding their services to new geographical regions and explains how AWS can assist.

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.