Post-pandemic digital transformation: Leveraging AI and business analytics for it project success and organizational agility in the U.S

Kumar, Amit and Roy, Antu (2025) Post-pandemic digital transformation: Leveraging AI and business analytics for it project success and organizational agility in the U.S. World Journal of Advanced Research and Reviews, 26 (3). pp. 702-713. ISSN 2581-9615

The COVID-19 pandemic served as a critical catalyst for digital transformation across U.S. industries, compelling organizations to rapidly adopt Artificial Intelligence (AI) and Business Analytics (BA) to navigate unprecedented disruptions. This study investigates the synergistic role of AI and BA in driving IT project success and enhancing organizational agility in the post-pandemic era. The accelerated shift to remote work, digital operations, and real-time data utilization underscored the urgency of integrating intelligent technologies into core business strategies. AI applications such as machine learning, natural language processing, and robotic process automation have enabled predictive decision-making, automation, and adaptive project management. Concurrently, BA tools have empowered organizations with real-time forecasting, performance tracking, and data-driven insights. Together, these technologies have redefined traditional IT project dynamics, allowing businesses to remain competitive, agile, and resilient in volatile environments. Drawing upon a comprehensive review of literature and industry case studies, this paper explores the transformative impact of AI and BA on operational performance, talent management, and strategic governance. It also addresses ethical considerations such as data privacy and digital equity. The findings provide a roadmap for U.S. organizations seeking to shift from reactive responses to proactive innovation, leveraging AI and BA to foster long-term adaptability and digital maturity in a rapidly evolving global landscape.