Traditional software testing doesn’t work for AI. As AI becomes embedded in enterprise applications, organizations are realizing that legacy testing methods fall short. From non-deterministic outputs to AI agents, AI systems require a new playbook.
This whitepaper discusses a comprehensive framework to help you test AI systems effectively.
In this whitepaper, you'll learn about:
Discover how Amazon Q Developer is redefining developer productivity - featuring a real-world migration of a .NET Framework application to .NET 8 that transforms weeks of manual effort into just hours with AI-powered automation.
Explore how Amazon Bedrock AgentCore and the Agent Marketplace are industrializing, standardizing, and commoditizing the underlying agent infrastructure, helping organizations eliminate the operational toil and risk that have slowed the adoption of agentic systems.
Explore how agentic AI architectures can address the complexity, uncertainty, and personalization needs of modern healthcare by mirroring medical team dynamics, enabling dynamic reasoning, mitigating bias, and delivering more context-aware and trustworthy medical insights.
