Why you need AI in your continuous testing strategy

At the top of every CIO’s mind is how to drive forward innovation at speed, increase levels of productivity, deliver superior and highly scalable digital products and services that increase customer satisfaction, and save costs –all at the same time. Unfortunately, without modernizing your testing with intelligent automation, and treating testing as a strategic component to your digital success, you won’t be as competitive and you can’t innovate as quickly. How do we get there?

AI is being implemented in an infinite number of ways in testing:

  • Creating automation based on an application’s mockup or simple design
  • Handling maintenance of rapidly changing applications
  • Automating hard-to-reach interfaces like remote applications
  • Performing self-healing upon changes to object recognition
  • Reducing the testing scope in large regression suites through smart impact analysis

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