Category: Amazon Bedrock

Learn how between Amazon Web Services (AWS) and HUMANBULB, the community organization behind the AWS Sacramento User Group — became a model that other cloud companies and community leaders can replicate. In this post, we share what we built, what we learned, and how other AWS teams and community leaders can apply the same approach in their own cities.

The methodology described in this post translates subjective personality requirements into testable behaviors, versioned prompts, and documented boundaries. It addresses several dimensions of Responsible AI at AWS, an eight-dimension framework that guides how we build and evaluate AI systems.

This post explains how to build exactly that using Strands Agents and Amazon Bedrock. The entire solution runs in about 200 lines of Python code, and you can have it working on your computer after completing the pre-requisite steps.

Learn how Amazon Web Services (AWS) operates inside a scoped compute environment with an AWS Identity and Access Management (IAM) execution role, network segmentation, and defense-in-depth security meeting FISMA, FedRAMP, and DoD CCSRG standards.

This post gives you a practical framework for turning project experience into organizational learning and shows how Amazon Web Services (AWS) AI services accelerate the process.

In this blog post, Sanjeev Pulapaka of AWS explores how agentic AI—deploying multiple specialized agents that understand intent and context—can dramatically accelerate the federal rulemaking lifecycle by addressing its three major bottlenecks: NPRM development, public comment analysis, and final rule clearance.

Learn how BMJ Group has developed an AI-powered editorial assistant designed to help journal editors screen submitted research manuscripts to make better decisions about which papers to send for further peer review, which to reject, and why.

Learn how CloudHedge’s CHAI platform brings together three transformative components: DART (Discovery, Assessment, and Rationalization Tool), Flow Federal Edition, and CHAI Universe Model Context Protocol (MCP). All three components are grounded in the intelligence of Amazon Bedrock.

In this post, we share how Scouting America used this AI assistant to transform youth enrollment.

In this post, we share the winning projects, lessons learned, and how the experience continues to shape participants’ cloud careers at the Columbia X Amazon Bedrock Innovation Challenge.