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AI in QA
There is a need for change in the way quality assurance operates in organizations. Broadly there are two driving forces - agility in the way testing is done (continuous quality assurance) and faster time to market. For QA teams to keep pace with the agile mode of development, traditional test automation is no longer adequate, making AI in test automation inevitable.
Testing organizations are being compelled to innovate with new and emerging technology solutions around automation.
AI in QA
There is a need for change in the way quality assurance operates in organizations. Broadly there are two driving forces - agility in the way testing is done (continuous quality assurance) and faster time to market. For QA teams to keep pace with the agile mode of development, traditional test automation is no longer adequate, making AI in test automation inevitable.
Testing organizations are being compelled to innovate with new and emerging technology solutions around automation.