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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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Pro tips for painlessly cutting your IT budget in 2019

Oct 01, 2018 | Esko Hannula

Even in the best of times, we are constantly being asked to deliver more for each dollar in our budget while simultaneously maintaining existing output. Here are a few tips and tricks to help you stretch your IT budget in 2019.

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A short history of software quality

Mar 27, 2017 | Esko Hannula

 

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How development teams work in the Economy of Speed

Jun 14, 2016 | Hannele Kuitunen

 

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