Category: Amazon Bedrock

Generative AI can automate tasks like code generation, testing, and documentation, but public sector customers must prioritize solutions that meet unique regulatory and operational requirements. Addressing these challenges with a secure and compliant generative AI solution can transform software development, helping organizations deliver projects on time while reducing costs. This post outlines the considerations and solutions to evaluate when selecting an AI coding solution.

Organizations adopting modern software development activities continue to embrace the advantages of AI and large language models (LLMs), maximizing the productivity of developers. Amazon Q Developer provides you with an AI coding companion that delivers direct access for developers to the AI companion within the integrated development environment (IDE). In this post, we walk you through an example you can use leveraging the power of Amazon Bedrock to provide a coding assistant in your IDE.

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