When AI accelerates development velocity, test coverage is the first thing that doesn't keep up. For QA teams operating in the cloud ecosystem, that gap is the new primary risk.

In this live demo session, technical experts will show you how to leverage foundational models like Amazon Bedrock directly inside your test management workflow to close critical coverage gaps. You'll see how modern teams gain instant release readiness signals from test data: no SQL, no complex dashboards to build, and no waiting on reporting cycles.

Featuring a demonstration of SmartBear QMetry’s integration with AWS AI tools, this session is designed specifically for teams looking to optimize their cloud quality workflows. Bring your questions.

What you’ll learn:

• Why AI-generated code increases test & QA risk
  What adequate coverage looks like when development is AI-accelerated


• Live demo: Turning test data into natural-language release readiness insights using SmartBear QMetry and Amazon Bedrock


• Live demo: Unifying manual and automated testing for end-to-end traceability in a single system


• Concrete next steps for cloud-ecosystem teams ready to modernize their software quality stack