Category: Amazon Machine Learning

Deloitte’s Resident Outreach solution (available in AWS Marketplace) enables state agencies to adapt their resident communications through the power of generative AI on AWS. In this post, we discuss how Deloitte empowers the four capabilities of Resident Outreach: Multi-Modal Completion of Applications & Renewals, Application Nudges, Correspondences, and Campaigns.

Public entities must make sure that their digital content is accessible for people with disabilities. PDF documents can present challenging accessibility issues. In this post, we discuss an innovative, open source, and AI-driven solution to automate the remediation of these PDFs and bring them into compliance with Web Content Accessibility Guidelines (WCAG) 2.1 standards.

Generative AI, machine learning (ML), and cloud technologies are revolutionizing the way we work. To succeed in the workforce, proficiency in these technologies is becoming increasingly important. At Amazon Web Services (AWS), we understand the challenges of acquiring new skills and have developed innovative, gamified solutions to make learning more engaging and effective.

Through a strategic collaboration with AWS and DailiTech Co., King Mongkut’s Institute of Technology Ladkrabang (KMITL) developed and delivered a prospective students virtual assistant “Knowva,” a generative AI application powered by Amazon Bedrock. Read this post to learn more about this

Many government agencies, like the National Oceanic and Atmospheric Administration (NOAA), participate in the AWS Open Data Sponsorship Program. In this post, we discuss how to use NOAA datasets in the Registry of Open Data on AWS using Amazon Bedrock Knowledge Bases.

In this post, we walk through a step-by-step guide to building your own Retrieval Augmented Generation (RAG) solution on AWS, complete with open-source instructions and best practices. Learn how to harness the same technological foundations that power enterprise-grade proposal automation while maintaining security, compliance, and content quality.

Many organizations validate their generative AI–based workloads on their emotional reaction to a foundation model’s output instead of real testing criteria. In this post, we show you how you can move away from vibe testing and effectively evaluate your Amazon Bedrock workloads for production.

To support education leaders on their AI journey, we’ve developed a practical guide that maps real-world challenges to proven AI use cases. While not exhaustive, these examples serve as inspiration—highlighting what others have achieved and helping you explore how AI can address your institution’s priorities

When natural disasters and conflicts create survival situations, the rapid response of the world’s hundreds of humanitarian organizations saves lives. Those organizations can save even more lives when they acquire information in pace with fast-evolving situations on the ground. Amazon is investing $25,000 in AWS credits and providing hands-on engineering support to help the United Nations’ emergency reporting service, ReliefWeb, get up-to-date crisis information to everyone who needs it—and make sure that no situation is forgotten.

In this blog post, we explore the AI for Teaching & Learning Framework on AWS, and discuss how it is addressing the evolving needs of higher education in the digital age.