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 time. Transforming airlines from a production to a services-based execution also requires departments to be aligned along overriding customer experience and profitability goals. The book demonstrates how AI can be deployed to redesign airline organization as well.
The author also describes the next wave of business transformation around the integration of commercial functions using Composite AI at enterprise level. With his holistic understanding and experience in the airline industry, the author provides valuable insights and helps managers understand how to embrace ML and AI and contribute to future commercial aviation and cargo success.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Adult education, Postgraduate, Professional, and Professional Reference
Illustrationen
11 s/w Zeichnungen, 11 s/w Abbildungen, 6 s/w Tabellen
6 Tables, black and white; 11 Line drawings, black and white; 11 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 14 mm
Gewicht
ISBN-13
978-1-032-52084-1 (9781032520841)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Ricardo V. Pilon has 29 years of practical airline/aviation management and management consulting experience from line management to corporate senior management. He has worked in strategic planning, organization and governance, revenue management and pricing, business improvement, alliances, marketing, distribution, network and product planning in both passenger services and air cargo management. He has completed over 200 projects in 98 countries with over 100 airlines and air cargo operators, industry organizations IATA and ICAO, civil aviation authorities, and aircraft manufacturers. In recent years, Ricardo has been heavily involved in creative innovation and transformation and has served as a senior executive in mid-size and large companies as an interim executive and Chief Strategy and Commercial Officer. Ricardo holds a PhD in Strategic Airline Management, an MBA in International Aviation from Concordia University in Montreal, a Master of Science in Air Transport Management from Cranfield University in the United Kingdom, a Master of Science in Applied Psychology from NTI, as well as a Bachelor of Science in International Management from the International Business School in the Netherlands. Ricardo is also the author of Cruising to Profits, published in 2015, and a number of airline management publications, such as Disruptor Airline. Since 2022, Ricardo is specializing further in the intersection of (airline) organization design, AI, and psychology and pursuing his second doctorate of applied organizational psychology in this field.
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
