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The Ultimate AI Testing Playbook


To keep up with customer expectations, the pressure to release updates faster is greater today than it’s ever been. DevOps and continuous testing should provide the answer to keeping up with the pace of change but unless testing teams are harnessing everything these ways of working have to offer, they aren’t enough. The key to success is adding AI testing to the toolkit, as this playbook explains.




Modern software development depends on maximizing the speed of release without compromising the quality. This places more pressure on testing teams than ever before. How do they balance these two conflicting requirements?


DevOps and continuous testing are seen as the solution, but many organizations aren’t harnessing everything this way of working has to offer, which we see in research that shows us that despite the pressure to increase the speed of release, it’s actually slowing down.


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