Have you thought about what brought you to your testing career thus far lately? If you are looking to get into testing where do you even start? That’s the topic of today’s show, where Matthew Heusser and Michael Larsen talk with Lanette Creamer, Elle Gee, Sangeetha Gururaj, and Jessica Ingrassellino about the ins, the outs and the often times sideways about careers in testing as well as the fact that we can do better with building up and helping new developers learn.
This is the first of a two-parter with Peter Varhol on both the promises and the hype surrounding AI and Machine Learning. Matt, Perze and Michael go down the rabbit hole on the Machine Learning topic with Peter as we try to wrap our heads around both the realities of Machine Learning, AI and the unique testing challenges such systems offer. From Facebook’s Chatbots negotiating an agreement to systems making predictive suggestions in ways that are both intriguing and creepy. There is a lot to the machine learning puzzle that we are just starting to understand and also prepare ourselves to effectively test. Hint: the algorithms themselves are only part of the puzzle.
Resource by QualiTest Group