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.
This on-campus certificate program provides a deep dive into artificial intelligence and automation as well as opportunities for their use by hospitality organizations. The business of hospitality is increasingly data rich, yet this data comes from a variety of sources which need to be updated on a regular basis. In addition, archival data exists on third-party platforms and other transactional systems — often behind user logins. Combine these factors with a tight labor force of increasing costs, and we find ourselves seeking to capitalize on AI and automation to integrate processes, generate insight from data, and make data-informed decisions. With a focus on streamlining tasks and automating data-driven decision making, this course provides an overview of machine learning, AI, and automation, highlighting their key differences as well as their opportunities through use cases. We will be joined by industry speakers who bring firsthand experience with today's deployment of these invaluable tools.
Key Course Takeaways
- Define the differences among machine learning, AI, and automation
- Explore practical use cases of generative AI (ChatGPT)
- Experiment with new automation tools
- Review examples of key tools for webscraping, sentiment analysis, and other data-rich applications
- Create your own ChatBot to demonstrate the integration of automation and AI tools
How It Works
June 13 – 15, 2024
All course materials, networking reception, breakfasts, and lunches
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Cornell's Nolan School of Hotel Administration
Professor, Nolan School of Hotel Administration, Cornell SC Johnson College of Business
Who Should Enroll
Hospitality professionals with at least two years of experience
cornell's Top Minds
cornell's Top Minds
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