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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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Under the hood - computer vision is quietly solving software challenges

Jun 25, 2018 | Tim Sampson

Computer vision is running “under the hood” in many consumer applications, but it’s also being used to help tech professionals address tricky software problems and open up new avenues for business efficiency.

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