Gopinath Kathiresan, a senior quality engineering manager at Silicon Valley giant, is using AI and Automation to improve software quality at a rapid rate and reduce human error. The most critical and costly elements of software development program budgets are quality assurance and testing, which often cost large companies up to a fourth of their budget or more. Through intelligent automation, development can be completed at a more expeditious rate, reliability increases, and human error can be minimized. The rise of parallel execution in software testing has led to the creation of strategies that enable thousands of test cases to run simultaneously across various environments, reducing validation time from days to hours. This innovation has also allowed teams to identify defects earlier in the development cycle, conserving time and resources. Gopinsath has led the way in automation-driven quality assurance, advocating for seamless device interaction, large-scale parallel execution, and comprehensive regression suites that ensure continuous delivery without compromise.
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