Category: Amazon Bedrock

In this post, we explore how The Chronicle of Higher Education harnessed the power of generative AI and Amazon Bedrock to build Chron: a search assistant that unlocks the full value of The Chronicle’s rich archive for educators, administrators, and all higher-education professionals.

In this post, we walk through creating a Retrieval Augmented Generation (RAG)–powered chat assistant using Amazon SageMaker AI and Amazon Kendra to query donor data on AWS.

With over a decade of experience supporting more than 2,000 school districts across North America, Panorama Education had already built powerful tools for integrating academic, attendance, behavior, and life skills into one unified view of student progress. To unlock the value of that data securely, Panorama built Solara, a generative AI platform built on AWS. Solara is designed to help educators make sense of student data faster, design personalized student improvement plans, and reduce administrative burden while maintaining trust and data privacy at scale.

As more and more public sector organizations deploy generative AI workloads, we are increasingly asked what can be done to make sure that these workloads are resilient to failures. In this post, we discuss the key factors that mission-based organizations should consider so that their generative AI workloads are resilient to failures.

Learning Upgrade worked with AWS to modernize its platform and ultimately migrated fully to the cloud. This strategic shift empowered Learning Upgrade to scale globally, respond faster to new opportunities, and better serve learners in dynamic, resource-constrained environments. Read this post to learn more.

By using generative AI, government agencies can analyze large amounts of data to identify patterns and insights, streamline manual processes, and deliver faster, personalized, more accessible services to citizens while maintaining the highest standards of accuracy and compliance. Read this post to learn more.

In today’s rapidly evolving security landscape, the technological edge isn’t just an advantage—it’s a necessity. We’re thrilled to share a milestone that will transform how our government customers harness the power of artificial intelligence (AI): AWS is the first cloud provider to achieve FedRAMP High and Department of Defense (DoD) Cloud Computing Security Requirements Guide Impact Level 4 and 5 authorizations for Anthropic’s Claude and Meta’s Llama AI foundation models.

Drawing on the extensive experience AWS has in partnering with public sector organizations worldwide, here are four transformative steps agencies can take to drive meaningful modernization and shape the future of government service delivery.

As state and federal organizations increasingly explore generative AI implementations using Amazon Bedrock, they face a critical challenge: accurately estimating the costs associated with these workloads. In this post, we cover details about estimating costs on Amazon Bedrock.

In this post, we discuss a noise complaint solution that uses an Amazon Bedrock Agent to serve as an intelligent interface between citizens and the computer-aided dispatch (CAD) system.