Forecasting Impact
Forecasting Impact is a monthly podcast that aims to disseminate the science and practice of forecasting alongside prominent academics and practitioners in the field. Our vision is to grow the forecasting community, foster collaboration between academia and industry, and promote scientific forecasting and good practice. We’ll discuss a variety of topics in economics, supply chain, energy, AI, data analytics, healthcare, and more.
Podcast Team: Dr. Mahdi Abolghasemi, Dr. Sevvandi Kandanaarachchi, Michał Chojnowski, Dr Laila Akhlaghi, George Boretos, Mariana Menchero, Dr. Faranak Golestaneh, Arian Sultan Khan.
Future guests: if you have something interesting on forecasting to share with our audiences, please send an email to forecastingimpact@gmail.com
Forecasting Impact
Nikos Kourentzes, on business, AI, and hierarchical forecasting
Nikolaos Kourentzes is Professor of Predictive Analytics at the University of Skövde (Sweden) in the Artificial Intelligence Lab as well as a member of the Centre for Marketing Analytics and Forecasting, at Lancaster University in the United Kingdom.
In this episode, Nikos talks about the role of AI and judgement in forecasting, and what we as forecasters need to learn from other fields such as algorithmic learning. He continues with a discussion on temporal and hierarchical forecasting problems. On a more personal note, he shares with us his background, career and philosophy on the "why” behind the problems. And, finally, he discusses his new book, Principles of Business Forecasting, 2nd edition as well as recommendations for forecasting books and papers.