What’s Our Job When the Machines Do Testing?

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 such as Nest and Netflix. Today, AI brings us to the tantalizing brink of the autonomous vehicle. The sea change of this fourth 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 will explore industrywide applications of analytics and machine learning to testing, and share an in-depth view into how this next generation of automation is being used to optimize test and IT operations. Geoff will identify opportunities for the application of AI across the engineering and test landscapes, ranging from high-value test cases to dynamically generated regression test suites. Most importantly, Geoff will provide tips to improve your skill set—and your mindset—so you can eagerly embrace AI and machine learning in your test engineering and IT operations.

[video:https://youtu.be/0fZVTpmTzv8 width:300 height:200 align:right]

Presenter Bio:

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.