THE MODEL OF IT PROJECT MANAGEMENT SYSTEM BASED ON MACHINE LEARNING

Abstract

A model is proposed for integrating modern IT project management with artificial intelligence technologies, taking into account current trends and developments in the field of IT computer science and allows you to effectively handle the growing data flows on the parameters and characteristics of complex projects when developing and making decisions on managing complex projects. Identified and classified the main reasons affecting the unsuccessful completion of projects. The components of the proposed model for integrating the project management system are shown and their detailed characteristics are presented. It is determined that the proposed model is based on three components, including a list of basic methodologies and standards for project management, which can form hybrid methodologies, a set of IT, database and project management knowledge for developing, substantiating and managing projects and modern artificial technologies intelligence based on the use of machine learning methods. The role, components and environment of machine learning for use in project management is substantiated. The integration conditions were used to analyze and build a table of modern IT for project management, clustering them into three groups concerning the possibilities of using artificial intelligence technologies, in particular machine learning. The results of introducing elements of the proposed model in the implementation of complex IT projects in the banking sector have shown the effectiveness of the proposed approach. The success of current projects and portfolios of projects of the bank has increased, the number of participants in project activities working in real projects with processing large amounts of information on managing the development and implementation of complex IT products has increased.