Machine learning (ML) is rapidly becoming a popular AI technique for driving the evolution of next generation of intelligent digital systems such as self-driving cars. AI and ML have the potential to significantly transform how we do testing and continuous delivery to become more intelligent. Shamin Ahmed will begin the session with a high-level introduction to AL and predictive analytics concepts. From there, Shamin will explain how ML and predictive analytics can be applied to the domain of continuous delivery and provide a demo of how to create predictive models using popular ML tools. He will also show how ML can be used (use cases) in the context of Continuous Delivery and Continuous Testing and provide a specific example of how ML is used to perform defect prediction helping to move the QA function from “defect detection” to “defect prevention”. Take advantage of Shamin’s years of experience implementing intelligent DevOps and QA systems by leveraging the power of advanced analytics and ML. Leave this session with an understanding of what the future of intelligent continuous testing looks like.