The document discusses the complexities of continuous testing in digital environments, highlighting the need for a robust testing coverage plan that aligns with user conditions across platforms. It emphasizes the importance of utilizing relevant devices and operating systems to enhance testing efficiency and to stay ahead in the market, incorporating machine learning for better test automation outcomes. Additionally, it outlines the evolution and methodologies for testing, including a transition from traditional to machine learning-based testing approaches.
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