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 As we know,  Artificial Intelligence (AI)  has become quite prevalent across many sectors and quality management is not an exception. Likewise, AI in Quality Assurance (QA) practices offers businesses agile approaches to identify flaws and enhance their product/service quality.  Now what is AI in Quality Assurance? Well, AI applications in QA comprises algorithms that enhance and streamline testing processes of large datasets. Also, it assists in testing scenario systems to pinpoint areas of high risk for businesses. Consequently, by using AI in quality assurance practices businesses can significantly reduce manual efforts and improve their test coverage. Moreover, forecasts say that the  market value  of AI in Quality Assurance will reach USD 4.0 billion by 2026.  Therefore, let’s explore ways in which businesses can use AI in quality assurance and enhance their efficiency,  shall we? Understanding AI in Quality Assurance (QA) Traditionally, QA processes relied on ma