Category: Artificial Intelligence

Learn how Benchmark Education Company worked closely with Amazon 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.

Global leaders are convening in Germany this week at the annual Munich Security Conference (MSC) to discuss key foreign policy and security challenges. Amid these discussions, one thing is clear: global leadership increasingly hinges on technological progress. In particular, the rapid progress of artificial intelligence (AI) presents an extraordinary opportunity for transformative innovation. For the U.S. government, this moment marks a crucial inflection point: embrace bold modernization of digital infrastructure and AI investment or risk being outpaced by global competitors.

This post is part three of a four-part series that addresses how a Cloud Center of Excellence (CCoE) can be a viable solution to address the challenges of digital transformation. In this post, we address the three technical perspectives of the Amazon Web Services Cloud Adoption Framework (AWS CAF). While the business, organizational, and governance perspectives of the AWS CAF are crucial, the CCoE must also focus on the technical capabilities required to build and operate a cloud environment that meets the organization’s needs.

In today’s digital landscape, federal agencies face unprecedented challenges in securing their complex information technology (IT) infrastructure. Traditional security models require more capability, which is why departments like the Department of Defense (DoD) and the Cybersecurity and Infrastructure Security Agency (CISA) are mandating zero trust architectures across their agencies. Renzo Rodriguez, managing director of US Federal Solutions Architecture at Amazon Web Services (AWS), sat down with Les Call, director of the Department of Defense CIO Zero Trust Portfolio Management Office, in a recent episode of “Mission Innovation, powered by AWS,” to explore the challenges and strategies of implementing zero trust within the DoD. Read this post for a recap of their conversation.

In an earlier post, Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS, we discussed a reference architecture for building secure and scalable data platforms for secondary usage of health data in alignment with the European Health Data Space (EHDS) using Amazon Web Services (AWS). This follow-up post walks you through the technical implementation details for building such federated data governance and analysis platforms using AWS. Whether you are a healthcare organization, technology provider, or systems integrator, this post aims to equip you with the technical knowledge to build a secure data platform for secondary usage of health data in alignment with the EHDS Regulation.

Sharing data is essential for organizations to make informed decisions and foster innovation. Amazon 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.

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 Amazon Web Services (AWS) can modernize bureaucratic workflows, improve efficiency, and enhance service delivery within government agencies.

In this post, you will discover the key challenges public sector agencies face when it comes to real-time data access, and how Amazon 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.

The healthcare industry is undergoing a profound transformation, driven by the adoption of generative artificial intelligence (AI), cloud computing, and connected care devices. This digital revolution promises to improve patient outcomes, reduce costs, and enhance the overall healthcare experience. However, it also introduces new challenges in terms of cybersecurity, privacy, and regulatory compliance. To navigate this complex landscape, healthcare organizations are turning to scalable, affordable, and highly available cloud infrastructures such as Amazon Web Services (AWS) to build resilient, secure, and innovative solutions.

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.