AWS Architecture Blog

Category: Amazon Machine Learning

How TUI scales threat modeling for 100+ teams with Amazon Bedrock

How TUI scales threat modeling for 100+ teams with Amazon Bedrock

Learn how TUI, the world’s leading tourism group, built an AI-powered threat modeling system on Amazon Bedrock and Amazon Bedrock AgentCore to scale security assessments across more than 100 product teams, cutting threat modeling time by up to 70% while applying security standards consistently.

Automating agentic AI Well-Architected reviews with the AWS Agentic AI Lens

Automating agentic AI Well-Architected reviews with the AWS Agentic AI Lens

Smarsh used the AWS Well-Architected Framework’s Agentic AI Lens to review its first agentic workload. Because the lens is not yet selectable in the console, the team encoded it as a Claude skill that assessed all 150 best practices against the workload’s GitHub repository and produced an evidence-backed review workbook in hours instead of days.

Automate medical coding with Step Functions and Amazon Bedrock AgentCore

Automate medical coding with Step Functions and Amazon Bedrock AgentCore

Learn how to combine deterministic orchestration with bounded agentic reasoning using AWS Step Functions and the Amazon Bedrock AgentCore harness. This medical coding workflow escalates cheapest-first: a safety block-list, then exact matching, then an AI agent only for terms that need judgment, keeping every routing decision auditable.

Agentic antimicrobial resistance surveillance with AWS HealthOmics and Amazon Bedrock AgentCore

Agentic antimicrobial resistance surveillance with AWS HealthOmics and Amazon Bedrock AgentCore

This post presents a reference architecture that turns public sequencing data into plain-language answers about antimicrobial resistance (AMR) genes. It pairs AWS HealthOmics for managed genomics processing with a grounded Amazon Bedrock AgentCore agent, so researchers can ask questions without writing bioinformatics code or SQL.

Accelerating airline retailing innovation: how Datalex modernized with AWS Experience-Based Acceleration and agentic AI

Accelerating airline retailing innovation: how Datalex modernized with AWS Experience-Based Acceleration and agentic AI

Datalex, a leader in airline ecommerce, partnered with AWS on a three-day Experience-Based Acceleration (EBA) workshop to prove modernization feasibility. Learn how they migrated a core reservation component from EJB/Java 8 to Spring Boot/Java 21, built a secure CI/CD pipeline, added observability, and integrated agentic AI.

How MHK built a HIPAA-eligible agentic AI solution on Amazon Bedrock

How MHK built a HIPAA-eligible agentic AI solution on Amazon Bedrock

MHK built the SmartProminence AI Orchestrator, a HIPAA-eligible agentic workflow framework on AWS using Amazon Bedrock, Amazon ECS, and event-driven patterns. It reduced manual medical review effort by 90% and cut new AI feature deployment from months to weeks. Learn how MHK architected this reusable, multi-tenant orchestrator for healthcare AI.

Build adaptive AI interfaces with the AG-UI protocol, agent swarms, and Nova Act on AWS

Build adaptive AI interfaces with the AG-UI protocol, agent swarms, and Nova Act on AWS

Learn how to build AI interfaces that automatically adapt to your agents’ variable outputs, using the AG-UI protocol for dynamic UI generation, the Strands Agents SDK swarm pattern for explainable multi-agent collaboration, and Amazon Nova Act to integrate legacy systems that lack APIs.

How DHI Group accelerates generative AI workloads from idea to production using hackathons

How DHI Group accelerates generative AI workloads from idea to production using hackathons

Learn how DHI Group partnered with AWS to move generative AI workloads from idea to production using a structured hackathon. This post covers the Hackathon Acceleration Package, the winning ClearanceJobs and AgileATS agentic architecture on Amazon Bedrock AgentCore, and the principles that make hackathons a repeatable path to production.