Iryna Saprun is a QA Architect at Xandr.
She started her career as a software engineer in 2004 in Ukraine, where she was born. She received her master’s degree in computer science in 2006 and in 2007, she began her first position as quality analyst. She remained in QA, focusing on the telecom industry and testing real-time communication systems and products such as the audio platform for the GoToMeeting application. Three years ago, she decided it was time to try something new and moved to AdTech. She is presently a QA architect building automation frameworks and implementing testing processes from scratch at Xandr.
AI and Machine Learning are everywhere. Smart thermostats, self-driving cars, virtual assistants – life has changed forever. AI and ML help people to make decisions and process information. Some predict that soon, AI will replace software programmers and testers. Nobody knows if these predictions become true and if so, when. There is no doubt although that AI will impact the way we test and will require new sets of skills.
Testing tools that use AI and ML are emerging and becoming more mature. The ready to use AI solutions are available in the market and can be integrated into the testing process. Paid and free AI and ML classes are offered by most online learning platforms.
In this talk, we are going to overview AI-powered test tools and see how they help us test better. We will take a brief look at Amazon, Google and Microsoft AI solutions, then discuss how we can use them to enhance testing. Finally, we will overview the set of skills that you might want to refresh or gain to embrace the new era with confidence.