AI-Driven Data Analysis and Knowledge Management in Aviation Organizations

Ayse Aslı Yilmaz

Chapter 7 in AI-Driven Revolution:Transforming the Business Landscape, 2025, pp 125-142 from World Scientific Publishing Co. Pte. Ltd.

Abstract: 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.

Keywords: Artificial Intelligence; Data Analytics; AI; Digital Landscape; Organizational Strategies; AI Technologies; Machine Learning; Natural Language Processing; Robotics; Digital Transformation; Business Models; Efficiency; Value Propositions; Advanced Analytics; Predictive Modelling; Customer Experiences; AI-driven; Ethical AI; Data Privacy; Algorithmic Bias; Regulation Compliance; Responsible AI; Sustainable AI; Practical Applications; Business Innovation; Emerging Technologies; Industry 4.0; High Tech; Ethics Regulation; Business Leadership; Pattern Recognition; Information Technology; Entrepreneurs; Management (search for similar items in EconPapers)
JEL-codes: L1 L2 L21 L26 M1 (search for similar items in EconPapers)
Date: 2025
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