The (narrow but very important) problem: Test scripts used for version 1.0 of an application will probably break when applied to version 2.

Equipped with machine learning (ML) capabilities, changes to the test script are made agnostically, allowing scripts to continuously run and fix themselves without disrupting operations.

With AI-driven testing requiring no scripts, frameworks, or maintenance, teams can streamline their workflows, improve cross-functional collaboration and reduce the risks associated with siloed ...