AWS Public Sector Blog
Category: AWS Lambda
Reduce IT costs by implementing automatic shutdown for HAQM EC2 instances
To remain viable and continue to fulfill their mission, educational institutions are constantly seeking ways to optimize their IT costs while maintaining high-quality services. One often overlooked area for potential savings is the management of cloud resources, particularly HAQM Elastic Compute Cloud (HAQM EC2) instances. Many universities and colleges find themselves facing unexpected costs when EC2 instances are left running during off-peak hours or periods of inactivity. In this post, we explore how higher education customers can implement automatic shutdown mechanisms for EC2 instances, significantly reducing cloud expenses.
Benchmark Education accelerates grading and boosts student feedback with generative AI on AWS
Learn how Benchmark Education Company worked closely with HAQM Web Services (AWS) to build a grading tool powered by generative artificial intelligence (AI) to help teachers dramatically reduce the time they spend grading open-ended assessments—while maintaining accuracy, privacy, and trust.
Data ingress and egress through Trusted Research Environments and other secure enclaves
Data Review & Transfer Component (DRTC) on HAQM Web Services (AWS) provides a seamless solution to review, approve, and automate sensitive data transfer requests into and out of secure enclaves. In this post, we take you through the benefits of using DRTC to review data and other research artifacts for sensitivity prior to transfer into and out of these secure environments, in particular Trusted Research Environments (TREs).
Data dissemination for public sector on AWS
Sharing data is essential for organizations to make informed decisions and foster innovation. HAQM Web Services (AWS) offers a variety of tools and services to help distribute data securely and at scale. Whether it’s sharing public data for the common good, monetizing private datasets for business purposes, or collaborating with colleagues, AWS provides the necessary infrastructure and support. Read this post to learn more.
Transforming government application systems using intelligent document processing on AWS
Government agencies handle vast volumes of bureaucratic documents daily, ranging from tax forms to medical records. This document-heavy workflow, often reliant on manual processing, can result in delays, errors, and increased operational inefficiencies, causing frustration among both employees and stakeholders. This post explores how intelligent document processing (IDP) solutions from HAQM Web Services (AWS) can modernize bureaucratic workflows, improve efficiency, and enhance service delivery within government agencies.
Enhance productivity with HAQM Bedrock Agents and Powertools for AWS Lambda
In this post, you will discover the key challenges public sector agencies face when it comes to real-time data access, and how HAQM Bedrock Agents and Powertools for AWS Lambda work together to address these challenges. The post also includes real-world use cases demonstrating practical applications in the public sector and technical implementation details and best practices.
Rapidly develop fully functional web applications with AWS App Studio
AWS App Studio is a low-code development platform for users to build, deploy, and manage applications without extensive coding knowledge. It is designed to streamline the application development process, making it more accessible to a wider range of users, including business users, IT professionals, and startups that don’t have large specialized IT teams. This post guides you through the process of creating a user-friendly create, read, update, and delete (CRUD) application to efficiently manage birth certificate applications using AWS App Studio.
Strengthen foundation model queries through HAQM Bedrock-HAQM Alexa integration
Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, HAQM Web Services (AWS) has developed a solution through HAQM Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.
Enhancing resource sharing with AWS Outposts
In this post, we explore how AWS services, open source software, and bespoke source code can help address resource sharing enhancements requested by public sector customers using AWS Outposts. This solution aims to provide greater flexibility, control, and cost management for organizations leveraging Outposts in multi-account environments, specifically focusing on key AWS resources, including HAQM Elastic Compute Cloud (HAQM EC2), HAQM Elastic Block Store (HAQM EBS), and HAQM Simple Storage Service (HAQM S3) on Outposts.
The benefits of an email-based AI virtual assistant on AWS
In today’s fast-paced and competitive business landscape, companies are constantly seeking ways to enhance efficiency, streamline operations, and provide top-notch customer service. Artificial intelligence (AI) has emerged as a powerful tool to help companies achieve these goals while revolutionizing the way they interact with customers. In this post, you can read about the transformative potential of email-based virtual assistants—a standout among AI applications—powered by HAQM Web Services (AWS).