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AI-Boost – Four ways AI will transform your testing

Jan 15, 2019 | Henri Terho

1 - AI-augmented test analysis and optimization

Testing by itself is done to validate the software solution being developed and guarantee a certain agreed upon level of quality for the product and to make sure no major regression happens in the software. 

Machine Learning methods will allow us to bring a larger amount of statistical analysis tools to bear on all the test and telemetry our software pipeline is producing. We will see a surge of different software vendors bringing solutions for different kinds of dashboards and visualizations to provide a way to analyze the validity of our software and provide metrics for just about anything. 

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