In this episode, we host three scientists, Dr. Stephan Kolassa, Dr. Bahman Rostami Tabar, and Prof. Eno Siemsen. They are the authors of "Demand Forecasting for Executives and Professionals." In this  episode, we delve into discussions on their book.We discuss their motivations for writing this unique guide for professionals and why the need for such a book.  We explore the pivotal role of forecasting in business decisions and unpacking key principles and methodologies. Our conversation navigates through causal models, stressing the importance of understanding forecasting process. We highlight the profound impact of AI, machine learning, and human judgment in forecasting, considering cognitive biases and the potential of large language models.  The interview continues with discussions around the integration of demand forecasting in organizations while noting ethical considerations, reasons behind forecasting failures, and common hurdles encountered in evaluating forecast quality. We conclude by providing resource recommendations for further exploration of the topic and advice for executives eager to enhance their demand forecasting skills.You can learn more about their book at https://dfep.netlify.app/ and order at https://www.routledge.com/Demand-Forecasting-for-Executives-and-Professionals/Kolassa-Rostami-Tabar-Siemsen/p/book/9781032507729.