Application Development Session: Room B first floor

Session Evaluation

Abstract

DevOps principles have been around for some time.  Data accumulated from Development and Operations in the form of traces and logs has also been available for manual analysis.  Analyzing the intersection of dev and ops data using Machine Learning is the focus of this session.  By using sample applications and IBM’s Application Discovery and Delivery Intelligence, we will discuss basics of Machine Learning and some of the Artificial Intelligence algorithms and explore potential future applications of more sophisticated approaches to analysis and improvements in efficiency of DevOps processes in Enterprise environments.