The whitepaper explores the evolution of test automation enhanced by Artificial Intelligence (AI) and Machine Learning (ML), referred to as Cognitive QA. It highlights challenges in traditional automation—like script maintenance, dynamic UI changes, and test coverage gaps—and introduces AI-based solutions such as self-healing test scripts and automated test generation. These smart systems improve adaptability, reduce manual effort, and boost test accuracy. The document outlines future use cases and emphasizes the benefits of an AI-driven QA framework, including efficiency, resilience, and continuous learning for robust software quality assurance.

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