As artificial intelligence increasingly starts to address mainstream business processes, the next logical question in a software-centric world is, how can AI improve Software Dev/Test Cycle ? From the development stages, to testing, , and rollout, traditional methods don’t offer the agility or accuracy AI can inject into the process. By using AI in their application processes, businesses are able to significantly reduce the end-to-end development lifecycle, enabling them to imagine, build, and roll out new software and applications faster. This session would look at AI and machine learning and how we can leverage it for Development and Test automation and discuss best practices.