STREAMLINING PROGRAM MANAGEMENT WITH ARTIFICIAL INTELLIGENCE: A COMPREHENSIVE SURVEY

Abstract

AI platforms now change conventional approaches while reshaping the role of program managers by creating breakthrough capabilities and demanding complex responses to manage them. A review of essential AI solutions for program management identifies ML, Computer Vision, Optimization Algorithms, NLP, and Predictive Analytics. Subsequently, the paper delves into potential benefits, which include efficiency improvement alongside precise results and predictive power capabilities. The successful integration of AI in human services demands resolution of data privacy issues as well as solutions for implementation costs and improved human-AI team dynamics and ethical standards. The research investigates three new program management positions involving AI Program Managers and Data-driven Decision Makers as well as AI Liaisons to ensure readiness for an artificial intelligence transformed world. The research paper delves into previous AI literature studying program management applications while demonstrating industrial innovations and recognizing active research gaps. AI research needs to concentrate on developing stronger algorithm decision-making methods and analyzing the ethical boundaries alongside legal ramifications, as well as studying long-term AI program management integration impacts. AI applications give organizations an opportunity, through proper exploitation, to achieve superior program management results and business results.