How does AI improve software quality assurance?

H2K Infosys explains how AI is transforming software quality assurance by automating testing processes, improving accuracy, and accelerating release cycles. AI-powered QA tools can detect defects early, analyze large datasets, and predict potential system failures before deployment. Machine learning algorithms help generate smarter test cases, reduce repetitive manual tasks, and enhance regression testing efficiency. AI also supports continuous testing in Agile and DevOps environments, ensuring faster feedback and higher software reliability. By minimizing human error and improving test coverage, AI enables organizations to deliver secure, high-quality applications with better performance, reduced costs, and improved customer satisfaction in competitive digital markets.