Artificial Intelligence and Machine Learning have often taken on a near-mythical status in the software development pantheon as of late. Of course, ask ten people what AI and Machine Learning mean and you're likely to get at least twenty different answers. Understanding how and what to test surrounding it thus becomes daunting.
To help demystify this topic, Jen Crichlow joins Matthew Heusser and Michael Larsen to discuss developments in the AI and ML space and how to make sense of the myriad options and, more important, considerations around how to test these technologies.
Back in 2012, Matthew Heusser, Michael Larsen, and a number of other testers and test professionals came together to write a book devoted to the topic of "How to Reduce the Cost of Software Testing". To celebrate the ten year anniversary of that experience, Matt and Michael welcome fellow author Petteri Lyytinen to share their experiences writing the book and to see if, ten years later, we have made progress on our goal or if there is more that we can do in regard to the goals we set out a decade ago.