Category: Generative AI

In recent years, public sector organizations have found success running their scientific data processing workloads on Amazon Web Services. As the number of workloads increase with the massive data volume and complex scientific simulations, organizations are looking for ways to optimize cost while maintaining research momentum. Amazon EC2 Spot Instances presents a compelling option to run unused Amazon Elastic Compute Cloud (Amazon EC2) capacity with an up to 90 percent discount compared to On-Demand prices. However, the intermittent nature of Spot Instances often requires careful consideration, especially when handling time-sensitive mission-critical workloads. In this post, we discuss how organizations can effectively identify opportunities to use Spot Instances and Amazon Q Business to develop an enhanced Spot Instance analysis. 

Academic research IT departments around the world face the same challenge: how to balance their existing on-premises infrastructure with the opportunities of cloud computing. At the Supercomputing 2024 (SC24) conference, Amazon Web Services hosted a panel featuring two research IT leaders: Circe Tsui, associate director of solutions architecture at Emory University in the Office of Information Technology, and Dr. Robert Shen, director of the RMIT AWS Supercomputing Hub (RACE) at the Royal Melbourne Institute of Technology (RMIT). During the panel, Tsui and Shen shared how their institutions use AWS to augment and enhance their research operations with more scalability, security, and collaboration alongside their on-premises infrastructure. Read this post to learn more.

ZNotes, a social-impact startup on a mission to end educational inequality, primarily reaching young learners aged 14-18, is working to bridge this gap by providing free access to high-quality notes, videos, and quizzes that are co-created with top students to foster a collaborative peer-learning community. With Amazon Web Services (AWS), ZNotes enhances its ability to deliver accessible, high-quality learning experiences, ensuring that students—regardless of their background can receive the support they need to succeed. Read this post to learn more.

In the age of generative artificial intelligence (AI), data isn’t just king—it’s the entire kingdom. Our previous blog post, Anduril unleashes the power of RAG with enterprise search chatbot Alfred on AWS, highlighted how Anduril Industries revolutionized enterprise search with Alfred, their innovative chat-based assistant powered by Retrieval-Augmented Generation (RAG) architecture. In this post, we examine the technical intricacies that make this system possible.

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.

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.

Learn more about the announcements, innovations, and customer success stories from AWS re:Invent to inspire EdTech innovation in 2025.

Learn how HubbleIQ uses generative AI on AWS to enhance its autonomous IT support services and democratize connectivity in a digital world.

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.