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:
Learn how understanding tokenomics helps organizations optimize the cost and profitability of their generative AI applications—making them both financially sustainable and scalable.
Explore how agentic AI reduces the high failure rates of healthcare and life sciences innovation by making stakeholder collaboration a structural requirement, aligning teams from the start, and ensuring both technology adoption and reduced project risk.
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.
