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AI can augment the software testing process to help teams better understand the quality of their software and deliver better user experiences.

Testers have increasingly moved from a “happy path” approach to a “digital twin” approach. This focuses less on defining individual test cases and more on describing the system as a whole.

Outcomes from these techniques include:

• Optimized use of resources for testing to release software faster
• Identify defects more quicky
• Increases end user satisfaction

Access this white paper to learn how to make this a reality in your organization.