Event arc

It enables scalable, controlled deployment and improvement of AI agents on AWS infrastructure.

Companies involved

Amazon (AMZN)

Market lens

Companies can efficiently build, deploy, and optimize AI agents with robust monitoring and testing tools.

Operator take

Organizations using AWS for AI should consider adopting this approach to enhance agent development and deployment.

Latest signal

Build Strands Agents with SageMaker AI models and MLflow

AWS demonstrates building AI agents using Strands Agents SDK with models deployed on SageMaker AI endpoints. The process includes deploying foundation models from SageMaker JumpStart and integrating them with Strands Agents. It also covers production-grade observability and A/B testing using SageMaker Serverless MLflow for continuous improvement.