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While modern application delivery methodologies have grown in popularity and adoption, many organizations struggle to align and optimize testing resources amid increased testing volumes and shortening test cycle times.
This paper reviews the use of machine learning to enhance the capabilities of QA teams as they deal with modern application delivery challenges, and explores autonomous testing's potential for enhancing and streamlining application testing and QA activities.