ACHIEVE COMPLETE AUTOMATION WITH ARTIFICIAL INTELLIGENCE AND

8 Pages

This white paper outlines how AI and ML can enable complete test automation with minimal human effort. Traditional QA faces issues like frequent changes, lack of reusable assets, and talent shortages. AI/ML addresses these by optimizing test cases, auto-generating scripts via NLP, and creating intelligent DevOps pipelines. It helps identify critical flows using deep learning and enables self-healing test suites that adjust to application changes. By viewing test suites as dynamic, QA teams can improve speed, reduce costs, and adapt faster in agile environments.

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White Paper

ACHIEVE COMPLETE AUTOMATION WITH ARTIFICIAL INTELLIGENCE AND

ACHIEVE COMPLETE AUTOMATION WITH ARTIFICIAL INTELLIGENCE AND

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