Ricardo V. Pilon

Artificial Intelligence in Commercial Aviation (eBook, PDF)

Use Cases and Emerging Strategies

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 258
• Erscheinungstermin: 10. Juli 2023
• Englisch
• ISBN-13: 9781000900330
• Artikelnr.: 68123213

Autorenporträt

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.

Inhaltsangabe

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

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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