Tag: technical how-to

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.

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.

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.

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.

In this post, we walk through three solutions that allow AWS GovCloud (US) workloads to securely connect into the Amazon Web Services (AWS) commercial partition to perform inference with Amazon Bedrock. Each approach comes with different trade-offs, and by the end you’ll have a clear view of which path might be right for your organization.

AWS partners with providers of innovative solutions such as MemVerge, an AWS Partner Network (APN) Advanced Technology Partner, whose Memory Machine Batch (MMBatch) technology complements AWS Batch by providing advanced checkpointing capabilities for EC2 Spot Instances. In this post, we look at how MemVerge’s technology can overcome the challenges of interrupted pipelines by enabling pipelines that were interrupted mid task to start from where they left off, regardless of Spot Instance reclaims. We’ll also show how MemVerge’s Batch Viewer and proven best practices empower researchers to visualize their workloads, identify bottlenecks, and apply smart strategies that make their pipelines more efficient, resilient, and cloud-optimized.

Public sector agencies often need to provide information and services to citizens without needing authentication. At the same time, these agencies must make sure that their digital services remain secure, compliant, and reliable. Amazon Q Business embedded web experiences, when integrated with AWS Amplify, offer a powerful solution for delivering AI-powered conversational interfaces to unauthenticated users while maintaining robust security controls. This post explores how public sector organizations can use Amazon Q Business anonymous web experiences within AWS Amplify applications to enhance citizen services while implementing security best practices.

Open data is reshaping how we understand and respond to global challenges. From climate change to disaster recovery, the ability to access and analyze large-scale geospatial datasets is critical for scientific research, policy-making, and real-world applications. Leading the charge are several open data initiatives designed to lower access barriers and accelerate innovation: Open Data on AWS, the Amazon Sustainability Data Initiative (ASDI), and the Maxar Open Data Program on AWS. Together, these programs demonstrate the power of cloud-enabled open data to democratize access to geospatial information, promote global collaboration, and drive real-world impact. In this post, we demonstrate how to explore and visualize these datasets using interactive web applications and Jupyter notebooks.

In this post, we explore how Amazon Q Business is transforming government organizations through secure, AI-powered assistance across various use cases—from public records management to workforce development. Its robust security features, compliance standards, and data privacy controls make it an ideal solution for government entities undergoing digital transformation.

Organizations are modernizing their incident response by using AWS capabilities alongside chat-based collaboration platforms such as Slack and Microsoft Teams. This shift helps streamline monitoring, enabling centralized awareness, real-time collaboration, and faster threat detection and mitigation. In this post, we demonstrate how Amazon Q Developer in chat applications transforms incident response and team coordination, with practical examples using Slack integration.