Category: Amazon Bedrock

Meeple Srl—a technology spin-off from the University of Padua and Amazon Web Services (AWS) Partner—has released the Amazon Bedrock API Provider plugin for Moodle. This open source integration enables educational institutions to seamlessly connect Moodle Learning Management Systems with Amazon Bedrock, providing access to foundation models. Read this post to learn more.

Amazon Bedrock AgentCore empowers higher education institutions to finally move beyond AI experimentation to deliver intelligent, personalized support at a campus-wide scale. Read this post to learn more.

In the rapidly evolving landscape of academic research, cloud computing and advanced digital services have revolutionized the way scientists collaborate, analyze data, and disseminate findings. AWS is partnering with higher education institutions to revolutionize how research is conducted.

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real-time and drive actionable insights on a single dashboard. Whether a provider submits claims electronically or on paper, the claim could be adjudicated using the same process and analyzed the same way, saving both time and money. AI and ML services from AWS allow Medicaid agencies to create this streamlined solution. Moreover, AWS enables the adoption of solutions like this by providing no code or low code serverless services. Read this post to learn more

In this post, we discuss how to use datasets in the Registry of Open Data on AWS with Amazon Bedrock Knowledge Bases. With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from private and public data sources to deliver more relevant, accurate, and customized responses.

In this post, we explore how we’re transforming educational content alignment by combining the graph database capabilities of Amazon Neptune with large language models (LLMs) accessible in 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.