Advancing Agile Software Development using Machine Learning
Machine learning is everywhere from self driving cars to smart speakers that act as our personal voice controlled assistants. If you are related to tech industry, you have likely heard about machine learning. I'm not here to tell you what machine learning is but to propose a potential use case for it, something you may or may not have thought about. That use case is Advancing Agile. I am going to leave you with a hypothesis that Machine Learning can be used to advance this software development methodology that we call Agile and can bring about efficiencies that are otherwise challenging to achieve and maybe even impossible by human standards. I hope that you will be able to take this hypothesis and explore more on your own as you continue to foster Agile in your respective organizations. In this session, I will talk about how machine learning can be incorporated into day to day activities that are our teams perform, including Agile ceremonies, metrics and virtually everything else. The session will also cover why it makes sense to combine Machine Learning with Agile and finally I will provide some real-world kick-starter examples that participants can take back and apply. I look forward to an interactive and fun-filled session at Agile + DevOps West.