What’s Our Job When the Machines Do Testing?

[presentation]
by
Geoff Meyer
Summary: 

After its highly hyped introduction decades ago and followed by a long, quiet “winter,” artificial intelligence (AI) has slowly crept back into our consciousness. While our Siri and Alexa assistants entertain us, machine learning (ML) has brought new conveniences into our lives with solutions including Nest and Netflix. Today, AI brings us to the tantalizing brink of the autonomous vehicle. The sea change of this 4th Industrial Revolution has begun to disrupt industry after industry. The emerging capabilities of these fascinating machines demand our attention as AI starts to be applied in ways that directly affect our workplaces. And the test community will not be immune. Geoff Meyer explores industry-wide applications of analytics and machine learning to testing, and shares an in-depth view into how this next generation of automation is being used to optimize test and IT operations. Geoff identifies opportunities for the application of AI across the engineering and test landscape, ranging from high-value test cases and to dynamically generated regression test suites. Most importantly, Geoff provides tips to improve your skillset—and your mindset—so you will eagerly embrace the application of AI/ML in your test engineering and IT operations.

About the Presenter

A test architect in the Dell EMC infrastructure solutions group, Geoff Meyer has more than thirty years of industry experience as a software developer, manager, program manager, and director. Geoff oversees the test strategy and architecture for more than four hundred software and hardware testers across India, Taiwan, and the United States. He leads initiatives in continuous testing, predictive analytics, and infrastructure as a service (IaaS). Outside of work, Geoff is a member of the Agile Austin community, contributor to the Agile and STAR conferences, and an active mentor to veterans participating in the Vets4Quality.org program, which provides an on-ramp to a career in software quality assurance.

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