Knowledge-Based Planning and Controlling with Methods of Artificial Intelligence to Increase Efficiency in IT Projects

Abstract

Because the success of IT projects in companies is increasingly becoming a competitive factor, this paper aims to analyze how knowledge-based tasks in an IT project can be supported with the help of artificial intelligence methods to carry out the IT project more efficiently. To answer the research question, a qualitative method in form of expert interviews will be used on the one hand and a discrete event simulation on the other hand to achieve quantitative results. In the simulation, it is intended to create a model without the use of AI elements. Under the same conditions, a project will be developed to support the knowledge-based tasks in the second step. The different constellations of the model can be adapted depending on the focus and the question. These models will be operationalized with parameters and will be compared under different constellations to measure the efficiency quantitatively. The findings of this study allow a statement whether it makes sense to support specific tasks in an IT project with the help of AI methods.