Category: Generative AI

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.

Libraries are a treasure trove of knowledge, but finding what you need—especially in vast digital collections like the ones housed at Northwestern University Libraries (NUL)—isn’t always straightforward. That’s why the university chose AWS to help them build a new, multilingual, generative artificial intelligence (AI) powered search tool—one that makes its expansive collections more accessible, intuitive, and inclusive for all.

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.

The U.S. General Services Administration (GSA) recently announced an innovative OneGov agreement with Amazon Web Services (AWS) to provide up to $1 billion in savings for cloud adoption, modernization, and training for federal agencies. In alignment with this announcement are solutions to reduce waste and improve efficiency. To help organizations accelerate these initiatives and reduce fraud, waste, and abuse (FWA), this guide outlines practical strategies for optimizing technology spend while improving operational efficiency

AWS has developed a comprehensive suite of agentic AI solutions that are reshaping how healthcare organizations approach patient care, operational efficiency, and system resilience. AWS meets customers wherever they are on their agentic AI journey, offering everything from ready-to-deploy agents to tools for building sophisticated custom solutions. Unlike traditional AI that simply responds to prompts, these agentic AI solutions can reason, plan, and take autonomous actions to accomplish complex healthcare goals with minimal human oversight. Read this post to learn more.

Public sector agencies often need to provide information and services to citizens without needing authentication. At the same time, these agencies must make sure that their digital services remain secure, compliant, and reliable. Amazon Q Business embedded web experiences, when integrated with AWS Amplify, offer a powerful solution for delivering AI-powered conversational interfaces to unauthenticated users while maintaining robust security controls. This post explores how public sector organizations can use Amazon Q Business anonymous web experiences within AWS Amplify applications to enhance citizen services while implementing security best practices.

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.

In this post, we explore how WestCare—a worldwide family of nonprofit organizations providing treatment and rehabilitation, mental health and wellness, emergency support, housing opportunities, education and prevention, criminal justice, domestic violence, and veterans services—uses AWS services to transform healthcare delivery and reduce administrative burden.