https://globalmainstreamjournal.com/index.php/IJMISDS <p><strong>International Journal of Management Information Systems and Data Science (</strong>ISSN:<strong> <a href="https://portal.issn.org/resource/ISSN-L/2997-9560">2997-9560</a>)</strong> is a top-tier forum for presenting research that advances the understanding and practice of organizational information systems. The journal serves researchers investigating new modes of information technology deployment, the changing landscape of information policy making, and practitioners and executives managing information resources.The IJMISDS is intended for a diverse audience, including academic researchers, industry practitioners, consultants, policymakers, and students. Our readers are individuals and organizations committed to leveraging information systems and data science to achieve strategic objectives, improve operational efficiencies, and drive innovation.</p> GMJ en-US International Journal of Management Information Systems and Data Science 2997-9560 https://globalmainstreamjournal.com/index.php/IJMISDS/article/view/211 <p>This research paper examines the influence of Artificial Intelligence (AI) on the efficiency of project management, concentrating on the ways in which AI tools and techniques improve different facets of project management. The study initiates with a comprehensive examination of project management and the increasing significance of AI in various domains, emphasizing the shortcomings of conventional methodologies and the capacity of AI to tackle these issues. The study seeks to evaluate the impact of AI on project processes, pinpoint effective AI tools, and investigate the advantages and obstacles associated with AI integration. A thorough examination of existing literature investigates AI tools, including machine learning, natural language processing, and predictive analytics, along with their applications in planning, scheduling, resource allocation, risk management, communication, and performance monitoring. Case studies and empirical evidence illustrate the beneficial effects of AI on project outcomes, while also highlighting existing gaps in the literature that warrant further investigation. The mixed-methods approach integrates qualitative and quantitative data sourced from surveys, interviews, and case studies, employing both thematic and statistical analysis. The findings indicate that AI plays a crucial role in enhancing project efficiency through the reduction of timelines, improvement of cost control, optimization of resources, and facilitation of proactive risk management, in addition to enhancing communication and collaboration. Nonetheless, factors such as initial investment, skill requirements, resistance to change, and ethical considerations are acknowledged. The discussion outlines actionable strategies for project managers, highlighting the importance of training, incremental integration, ensuring data quality, and promoting innovation. The study concludes by offering recommendations for future research regarding the long-term effects of AI, conducting cross-industry analyses, and creating AI tools specifically designed for project management. This approach aims to provide empirical evidence and strategic insights into the integration of AI for enhanced project outcomes.</p> Muhammed Zakir Hossain Latul Hasan Md Abutaher Dewan Nurjahan Akter Monira Copyright (c) 2024 Muhammed Zakir Hossain, Latul Hasan, Md Abutaher Dewan , Nurjahan Akter Monira 2024-10-05 2024-10-05 1 05 1 17 10.62304/ijmisds.v1i05.211