Leveraging Machine Learning and Data Analytics for Demand Forecasting in the Tourism and Hospitality Industry

In recent years, with the continuous advancement of data processing technology, more and more industry practitioners and academic researchers have begun to analyze business data by using computer intelligence algorithms. The hospitality industry has increasingly integrated various data analysis techniques exploiting large data sets, because business intelligence can provide useful strategic insights in highly competitive environments (Mariani et al., 2018). Moreover, the hospitality industry, like any other industry, is witnessing a change due to predictive analytics powered by artificial intelligence (AI) approaches, like machine learning (ML) techniques. In this seminar, Prof. Heo will share her recent research on how machine learning can be utilized in demand forecasting which is a crucial aspect of hotel management.