Artificial Intelligence in Commercial Aviation - Practices & Future Trends

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.

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

• 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)