AI-Driven Data Analysis and Knowledge Management in Aviation Organizations

The integration of Artificial Intelligence (AI) into aviation organizations has transformed how data are analyzed and knowledge is managed. This chapter investigates the pivotal role AI plays in enhancing data-driven decision-making, optimizing operational efficiency, and fostering organizational learning within the aviation industry. By focusing on AI applications such as predictive analytics, real-time data processing, and AI-powered knowledge management systems, the chapter illustrates how AI contributes to proactive decision-making, improved risk management, and continuous learning. Ethical considerations, including data privacy and algorithmic transparency, are also examined to provide a balanced perspective on AI adoption in this safety-critical sector. Supported by real-world case studies from leading aviation organizations, this chapter offers practical insights into leveraging AI for operational excellence and organizational growth. Key themes include AI-driven innovations in aviation processes, the transformative impact of real-time data analysis, and the critical role of AI-powered knowledge management systems in ensuring compliance and safety. The findings aim to guide scholars and practitioners in navigating the challenges and opportunities of AI in aviation.