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.
Note: Coursework will require access to Microsoft Excel, a free trial version of BigML, and free versions of ChatGPT, Zapier, and Botster.
You are required to have completed the following course or have equivalent experience before taking this course:
- Leveraging Predictive AI in Hospitality