Bussiness-driven automatic IT change management based on machine learning

Growing complexity of customer needs is one of the prevailing problems faced by IT enterprises at present, leading to increasingly complex IT service management systems. At the same time, quick response to unexpected problems and externally imposed requirements are testing the IT change management. In order to solve the problems mentioned above and satisfy the customer needs timely, we consider automating the change management process with business-driven perspective so as to reduce the service interruption time and cost brings by changes. This paper proposes a solution for automation of the whole change management process and also assesses and validates the change solution we selected.