Testing is very cumbersome. Agile is open to changes, which means expected behaviors can change over time. Besides, due to implementation changes, tests may be broken. And most importantly, time is very precious and limited. Manual efforts should be minimized to improve coverage and reserve more time for exploratory activities with limited resources.In this talk, we will discuss leveraging Machine Learning practices in Software Testing with several practical examples and a case study that I used in my project to do Bug Triage. Let's embrace the future together!