Description
Book Synopsis
This book is a must read for aviation managers and all stakeholders that are interested in improving the business performance of airlines. In this book, the first of its kind on AI in Commercial Aviation, the author outlines how Machine Learning and AI are accelerating and improving the performance of airlines. Moreover, the author shares insights into many new use cases that emerging technology can deliver. He tackles all crucial functions from air navigation, flight operations, to sales, distribution, cargo, retailing, and commercial optimization. He then looks forward to blockchain and the metaverse and its opportunities.
With connected devices and the Internet of Everything (IoE), airlines can become retailers, sell, deliver, and service holistic experiences tailored to individuals in real time. This requires airlines to modernize processes and practices supported by decision intelligence (AI) that ingests sophisticated insights and executes service automation in real tim
Table of Contents
Introduction to Artificial Intelligence Part 1: Applications of AI and Emerging Opportunities in Air Transport Operations 1. Air Navigation and Flight Operations 2. Aircraft Operations and Crew 3. Customer, Contact, and Self-Service 4. Inflight and Cabin Services 5. Digital Cabin and Sensory Applications Part 2: Applications of AI and Emerging Opportunites in Commercial Management 6. Network and Schedule Planning, Aircraft Assignment 7. Fleet Planning and Aircraft Acquisition 8. Demand Forecasting, Pricing, Ancillary, and Revenue management 9. Loyalty Management 10. Sales and Distribution 11. Retailing and Digital Assistants 12. Total Revenue Optimization (All Commercial Functions) 13. Brand Management, Reputation, and Social Media 14. Cargo Warehouse and Handling 15. Cargo Commercial Management 16. Human Resources Management Part 3: Artificial Intelligence and Organization 17. AI and Organization Design 18. Enterprise, Composite AI and the Real-Time Organization Part 4: Trends and Evolutions in AI 19. Explainable AI 20. Hybrid Intelligence – Addressing Deskilling, Upskilling, Reskilling 21. Ethical and Responsible AI (Security Privacy, Environment) 22. Trends and Debates in AI 23. AI on Blockchain, and Distributed AI with Blockchain 24. AI and metaverse, Web3 25. Applied Psychology and AI Adoption
