Category: Amazon Bedrock

PartyRock, an Amazon Bedrock playground from Amazon Web Services (AWS), makes creating artificial intelligence (AI) applications simple and engaging—even if you have never written a line of code. With just a few steps, you can build your own AI assistant to help with homework, share with friends, or spark new creative ideas. Read this post to learn more.

In this post, we explore how a graph-based student assessment system powered by AWS services can bring automation, accuracy, and adaptability to the standards-alignment process. With this modern approach, EdTech platforms can deliver scalable, standards-compliant, and personalized learning experiences across K12 learning environments.

Today, on National Child Health Day, AWS is proud to announce the recipients of the 2025 AWS Imagine Grant Children’s Health Innovation Award (CHIA). This year’s cohort recognizes nine leading healthcare, research, and humanitarian organizations who are using AWS to realize a common vision: creating a world where every child has the opportunity to thrive through innovative solutions that predict, prevent, and address health challenges.

In this post, we walk through three solutions that allow AWS GovCloud (US) workloads to securely connect into the Amazon Web Services (AWS) commercial partition to perform inference with Amazon Bedrock. Each approach comes with different trade-offs, and by the end you’ll have a clear view of which path might be right for your organization.

Founded in 1990, the International Myeloma Foundation (IMF) is the first and largest global foundation focused specifically on multiple myeloma. The IMF’s mission is to improve the quality of life of myeloma patients while working toward prevention and a cure by focusing on four key areas: research, education, support, and advocacy. In September 2024, the IMF launched Myelo—an artificial intelligence-powered virtual assistant built using AWS and Max.AI, developed by ZS Associates. This blog post highlights Myelo’s capabilities to provide myeloma patients, caregivers, and healthcare professionals a trustworthy, round-the-clock source of information that is accessible from anywhere in the world, grounded in empathy, and can communicate in multiple languages.

Today’s education technology (EdTech) leaders face intense pressure to “do something with AI.” Fear of missing out has created a mentality where companies rush out AI features without understanding what problems they’re solving for their users. At AWS, we work closely with EdTech leaders navigating the generative AI landscape, and we’ve seen these patterns emerge repeatedly. Based on our experience collaborating with EdTech organizations across the education spectrum, we’ve created a list of five common pitfalls that derail generative AI efforts and the strategic approaches we recommend to avoid them.

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