As applications grow complex and user expectations rise, traditional QA is no longer sufficient. Enterprises are shifting toward AI-led digital assurance, where AI/ML automate test authoring, predict defects, self-heal scripts, and generate intelligent reports. This reduces manual effort, accelerates release cycles, and improves quality of experience. Key drivers include rapid digital transformation, billions of connected devices, and rising demand for seamless, personalized interactions. Use cases span no-code test authoring, cognitive defect prediction, and automated remediation. By blending machine precision with human oversight, organizations unlock faster go-to-market, cost efficiency, and resilient software quality.

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