Chris Anderson is a professor at the Cornell Nolan School of Hotel Administration. Prior to his appointment in 2006, he was on the faculty at the Ivey School of Business in London, Ontario, Canada. Professor Anderson’s main research focus is on revenue management and service pricing. He actively works in the application and development of revenue management across numerous industry types, including hotels, airlines, and rental car and tour companies, as well as numerous consumer packaged goods and financial services firms. Professor Anderson’s research has been funded by numerous governmental agencies and industrial partners. He serves on the editorial board of the Journal of Revenue and Pricing Management and is the regional editor for the International Journal of Revenue Management. At the Nolan School of Hotel Administration, Professor Anderson teaches courses in revenue management and service operations management.
Applying Generative AI in HospitalityCornell Course
Course Overview
In today's rapidly evolving hospitality industry, the advent of generative AI (GenAI) offers groundbreaking possibilities akin to historic innovations like the assembly line and the internet. GenAI has the potential to revolutionize how people work in the hospitality industry.
One of GenAI's most immediate effects is increased access to analytical tools that were once reserved for experts, making them available to anyone with a smartphone or laptop. This newfound accessibility creates a wealth of opportunities for hospitality professionals who have a deep understanding of their business and market but may lack formal training in statistical analysis. Yet with these opportunities come certain risks. As a leader in the hospitality industry, it is increasingly crucial to understand, communicate, and effectively apply the capabilities, limitations, risks, rewards, and impacts of GenAI on your firm's customer service experience and business objectives.
In this course, you will explore and apply GenAI best practices to help you address a variety of qualitative and quantitative challenges. Throughout, you will examine the critical role of human oversight while harnessing the capabilities of GenAI to serve as your data analysis assistant. You will work with large language models to perform cross-program computations; create custom, data-rich, and visually efficient reports; and enhance accuracy and efficiency in Excel. You will also practice methods to generate and refine content across diverse settings, such as crafting customized responses to consumer reviews; drafting documents, reports, and emails; and efficiently evaluating and categorizing consumer feedback.
By the end of this course, you will have developed the skills necessary to effectively interact with GenAI as your on-demand data scientist, allowing you to tackle a range of data-driven problems and challenges in hospitality.
You are required to have completed the following course or have equivalent experience before taking this course:
- Leveraging Predictive AI in Hospitality
Key Course Takeaways
- Leverage large language models to streamline computations, generate customized reports, and improve accuracy across programs
- Create and optimize content across platforms, including review responses, business documents, and consumer feedback analysis
How It Works
Course Author
Who Should Enroll
- Mid- and senior-level hospitality professionals
- Marketing and sales directors in hospitality
- HR directors for hospitality organizations
- Business analysts
- Hotel general managers
- Housekeeping directors
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