As organizations strive to accelerate and optimize their software testing processes to deliver continuous releases of high-quality software, the emergence of Artificial Intelligence (AI) solutions has introduced new complexities in testing. According to a research report, the AI market is projected to exceed US $100 billion in value by 2025.

AI-based system testing presents unique challenges due to the intricate nature of AI systems. Unlike traditional systems, AI testing involves assessing various input and output combinations, which aligns more with a non-deterministic approach. Furthermore, as the world increasingly embraces AI-powered smart applications, there is a growing demand for comprehensive end-to-end testing of AI systems to ensure their full functionality and high performance. Therefore, to ensure effective AI testing, we develop a robust and comprehensive testing strategy tailored for AI systems.