The surface area for testing software has never been so broad. Applications today interact with other applications through APIs, they leverage legacy systems, and they grow in complexity from one day to the next in a nonlinear fashion. What does that mean for testers?
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Artificial intelligence (AI)—including robotics and cognitive computing—has been one of the top discussions on the minds of business leaders, organisations and consumers in the past few months. Mark Zuckerberg once said his personal challenge is to build an assistant powered by AI to help him at home and at work, while Toyota is developing a billion-dollar driver assistance system that integrates AI to improve vehicle safety.
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