Artificial Intelligence in Commercial Aviation - Practices & Future Trends
Examples and best practices on how to adopt Artificial Intelligence solutions into aviation business.
Course description
Machine Learning and Artificial Intelligence are hot topics, but what exactly is it and what does it mean for the aviation industry? The aim of this course is to provide a fundamental understanding of Machine Learning and AI and how it applies to aviation.
In this course, we talk about artificial intelligence in two ways. First, we discuss the concepts, principles, and background of change brought to aviation businesses through artificial intelligence. Next, we categorize different techniques that are needed in the context of transformation in commercial aviation and what it takes to win in the data-driven age. Then we walk through a framework, which improves your skills in identifying key areas in your company where there are opportunities to benefit from the application of artificial intelligence.
Learning outcomes
At the end of this course, participants will be able to:
- Describe the underlying concepts and applications of machine learning and artificial intelligence
- Distinguish the various components and types of artificial intelligence
- List the requirements for effective artificial intelligence applications
- Weigh the pros and cons of AI technologies driving advancement
- Utilize a framework for identifying opportunities for capitalizing on AI in your organization
Who should attend
- Employees in service industries around hospitality and travel
- Professionals, consultants, and service providers in the aviation industry
- Students in aviation management
- Departments: Customer service managers, marketing, cabin services, pricing and revenue management staff; loyalty, sales and distribution employees, and others who want to understand the importance of instant customer-centric service and experience management in the age of the Internet of Things (IoT)
Meet your instructor
Ricardo Pilon
Dr. Ricardo Pilon has over 25 years of experience in the Aviation Industry. His knowledge and expertise range from civil aviation and air transport to cargo and logistics domains. He worked for airlines such as Air Transat, KLM, Air New Zealand, Etihad, Emirates Airlines, and consulted with over 80 others.
He builds the bridge between strategic business management, organization design, and the application of artificial intelligence. His specialist work elevates business models to tap into new revenue streams through intelligent processes on Enterprise AI platforms. Most centers on marketplace retailing or B2B selling in unique contexts, using ML & AI to drive CX and stickiness with the maximum transactional and long-term value per customer.
Ricardo is an experienced business executive with practical leadership expertise. He focuses on corporate & business development, commercial strategy, and modern digital company (MarTech + SalesTech technology in B2B or B2C domains) with a strong focus on profit maximization.
Ricardo holds a Ph.D. in Business Administration (‘02) specialized in strategic airline management and has also completed an MBA in International Aviation (‘00), an MSc. in Air Transport Management (‘98), an MSc. in Applied Organizational Psychology (‘22), and a BSc. in International Management (‘96). He is also a Chartered Business Valuator (CBV) and Chartered Financial Analyst (CFA). Moreover, he has recently completed executive courses at Harvard Business School and MIT.
The high-performance organization is one designed around how people intuitively want to interact with the decision support [machines] they need to solve their curiosity as they obsess about customers.
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