Integration of Agile and DevOps Methodologies for Project Management of Developing a Safety-Oriented Logistics Information System for Managing Organizational Resources using Artificial Intelligence

Abstract

In the conditions ofrapid technological development and growing competition, effective risk management becomes critical for the success of IT projects. DevOps offers new approaches to ensuring software quality and security. The role of artificial intelligence, agile IT project management methodologies, and project, program, and portfolio lifecycle management in modern project management is examined. It is concluded that the combination of these approaches increases adaptability, accuracy, and management efficiency, which is important for the successful implementation of projects in a dynamic technological environment. The impact of modern development methodologies on the speed of delivery of securityoriented IT projects and their quality improvement is analyzed. Special attention is paid to methods that allow for the rapid creation and improvement of information systems, adapting them to the changing needs of stakeholders. The results of the study can be used to develop effective strategies for the development of logistics information systems. The combination of artificial intelligence, agile methodologies and effective management of project, program and portfolio life cycles forms a new approach to project management that meets the challenges of today. These tools provide high adaptability, accuracy and management efficiency, which is becoming critically important in a rapidly changing technological environment. The implementation of such approaches increases the chances of project success. Thus, project procurement management is a key area of knowledge in project management, which ensuresthe successful achievement of project goalsthrough the effective involvement of external resources. A comprehensive model of integration of Agile and DevOps methodologies is proposed, adapted for managing an IT project for the development of a security-oriented logistics information system with elements of artificial intelligence, which provides increased flexibility, speed of development and the level of security of the end-to-end project life cycle.