Learn Why You Need A.I. to Automate Your Software Testing Process: Real Case Studies!
Conducting software testing manually has a lot of drawbacks, this leads to the urgency of tech-solution that is secured, able to work effectively and efficiently to automate the continuous process of software testing.
RPA with AI/ML arises as a solution that solves the issue, offering valuable benefits to companies with how fast it works, the cost it reduces, and its interoperability. Examples of use where A.I. RPA can be applied beneficially in software testing would be in visual elements, prediction of software defects, prescriptive software testing, and many more.
It is important to acknowledge real-life examples where automation successfully takes over the software testing process, to minimize the risks and challenges and optimize the result.
Watch the recorded webinar to collect insightful key takeaways:
00:30 Speaker introduction
00:54 Common challenges in software testing
04:19 Understanding A.I. and RPA
12:54 Illustration on how Machine Learning 'learns' (Structured Data ML)
19:04 A.I. for Software Testing
23:43 Use cases for A.I. in Software Testing
24:05 A.I. to recognize screen images
28:44 A.I. Machine Learning to detect software module defects
33:15 End to end system testing
33:34 A.I. for "Layout Extraction" in testing application
35:33 Considerations before implementing A.I.
We thank Testing Mind for giving us the trust to talk about this topic. We always strive to empower people to create a better world through A.I.
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