Category: Database

In a previous post on the Public Sector Blog, we covered six key strategies in which Amazon Web Services (AWS) empowers AWS Partners to expand their platforms globally to reach more customers while meeting requirements such as data residency and sovereignty. These ranged from using AWS Global Infrastructure to AWS services that make it easier for […]

Every day, the Anne Arundel County, Maryland, Office of Community Engagement and Constituent Services receives hundreds of resident concerns by phone, online, and even in handwritten letters. These aren’t routine inquiries but complex problems, such as zoning disputes, permitting questions, and other issues that residents have escalated to the highest levels of county government. Staff […]

Knowledge graphs (KGs) and large language models (LLMs) are transforming biomedical research, but ensuring artificial intelligence (AI) outputs are trustworthy and evidence-based remains challenging. At the recent AWS and NVIDIA Open Data knowledge graph hackathon, teams of researchers tackled this challenge by developing innovative solutions that combine knowledge graphs with graph-based retrieval-augmented generation (GraphRAG). Read this post to learn more.

As a large Amazon Web Services (AWS) public sector customer, you might need information about which accounts contributed to this month’s billing surge, which workloads generated the most security findings, or which services experienced the highest adoption rates. Although straightforward in single-account environments, finding such information becomes complex when organizations manage hundreds or thousands of AWS accounts.

The Coupon Bureau (TCB) is modernizing how coupons work in the US with the first universal digital coupon standard: AI (8112). To make this possible, TCB needed to build a system that could support billions of coupon transactions in real time, integrate seamlessly with hundreds of providers and retailers, and deliver mission-critical reliability. By using AWS services, TCB designed a cloud-based architecture that processes high-volume events, delivers real-time webhook notifications, provides data recovery during outages, and scales seamlessly as adoption grows.

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.

OpenSecrets is a nonpartisan, independent nonprofit organization whose mission is to serve as the trusted authority on money in American politics. Its vision is for Americans to use data on money in politics to create a more vibrant, representative, and responsive democracy. Through the AWS Imagine Grant—a public grant program that provides both cash and AWS credit funding to registered nonprofit organizations that are using cloud technology to accelerate their missions—OpenSecrets embarked on an ambitious project to revolutionize its political contribution database

In this post, we explore how Service NSW used AWS services to optimize its backup strategies while maintaining strict compliance requirements. By moving from a straightforward turnkey solution to a sophisticated, tiered approach, Service NSW achieved significant cost savings while enhancing its disaster recovery capabilities. The organization’s innovative use of automation for backup testing sets a new standard for efficient backup validation in large-scale database environments.

In an era where scientific discovery transcends borders, cloud computing is helping advance how researchers collaborate and innovate across the globe. Now available for download, The Value of Utilizing Cloud Service Providers for Open Science Research report—produced by Hyperion Research and sponsored by AWS— explores how and why researchers use cloud to accelerate open science research. Read this post to learn more.

In this post, we explore how we’re transforming educational content alignment by combining the graph database capabilities of Amazon Neptune with large language models (LLMs) accessible in Amazon Bedrock.