As artificial intelligence (AI) evolves, the scope of its applications continuously increases. Many state-of-the-art features like intelligent voice assistants, chatbots, and optical recognition are already part of our daily life. So much so, that many take these for granted. Similar developments are happening in the software development life cycle (SDLC). Innovation in this area is spreading fast and as new AI capabilities mature, these features will become normalized working practices moving forward. Breaking the SDLC down, the testing phase emerges as an immediate candidate where AI can hav...