Category: Amazon Bedrock

In this post, we explore how to build a sophisticated meeting transcription and analysis platform using AWS services, designed specifically for the scientific community. Our solution combines the power of AWS Transcribe, Amazon Bedrock, and other Amazon Web Services (AWS) services to create an intelligent tool that transforms how researchers document and analyze their discussions.

During the 2025 AWS Summit in Washington, DC keynote address, Amazon Web Services (AWS) and Pearson showcased the strength of their expanded collaboration to accelerate the development of AI-powered, personalized learning solutions.

United States Customs and Border Protection (CBP) is using cloud computing, generative AI and machine learning to secure US borders and address complex challenges. On a panel at the AWS Summit 2025 event in Washington, DC, two of CBP’s technology leaders discussed how the agency is combating border issues using cloud technology. In this post, we explore the key points and insights shared by the CBP technology leaders.

Many public sector agencies consist of multiple departments, each with their own functions. This can introduce administrative delays when processing incoming requests due to challenges such as needing to manually route the ever-growing volume of paperwork to the correct destination. This blog explores how Amazon Bedrock can be used to address these challenges by classifying documents based on their key topics and appropriately distributing them. In particular, we will focus on improving the efficiency of the freedom of information (FOI) request process, but this solution can be applied to various public sector use cases.

What if you could get trusted answers from a leading veterinary college, any time of day, from anywhere? That’s the idea behind Big Red Bark Chat, a generative AI-powered chatbot developed by the Cornell Richard P. Riney Canine Health Center (RCHC) at the Cornell University College of Veterinary Medicine, in collaboration with AWS.

Leading EdTech company Doping Hafıza is revolutionizing how teachers work through Öğretmen Plus, an Amazon Bedrock-powered solution. Öğretmen Plus is a social responsibility project aimed at reducing teachers’ workloads by making lesson planning more efficient and effective for more than one million K–12 teachers across Türkiye.

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.