Category: Generative AI

In this post, we discuss the AI Genomic Schema Harmonizer, a generative AI–powered application that revolutionizes how laboratories prepare genomic data for submission to public repositories.

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.

Amazon is launching the AWS Skills to Jobs Tech Alliance in the UK in collaboration with education institutions, government leaders, and enterprises, with a goal to provide 100,000 people with emerging technology skills by 2030. Read this post to learn more.

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.

On March 26, 2025, nonprofit and technology leaders gathered at AWS Imagine for Nonprofits, hosted at Amazon HQ2 in Arlington, VA, to connect with peers, share success stories, explore ideas, and discover new ways to use technology for the greater good. In this post, we will share the key announcements, highlights, and takeaways from the event.

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

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.