It’s a safe bet that testing jobs won't be taken over by machines anytime soon. However, those of us in the test industry would be wise to heed cross-industry applications of analytics and machine learning and begin staking out the proper role of the machine in our testing domain. What could AI mean for testing?
A Test Architect in the Dell EMC Infrastructure Solutions Group, Geoff helps craft the Test Strategies for DellEMC Server, Firmware and Software solutions and supports 400+ test engineers across India, Taiwan, and the United States. With 30+ years in the software industry, Geoff has been a developer, lead engineer, manager, and test director before finding his passion in test architecture. He leads initiatives in agile testing, Infrastructure as a Service(IaaS), continuous testing, and predictive analytics. In addition to being a member of the Agile Austin community, Geoff is an instructor and mentor to military veterans participating in the Austin-based Vets4Quality.Org program.
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The Chicago Cubs’ championship win in 2016 signaled the end of the long-running debate on the use of analytics in Major League Baseball. Analytics had won. Meanwhile, the emergence of analytics in the business world has been just as swift. Is analytics the next generation of test automation?