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Nikos Kourentzes, on business, AI, and hierarchical forecasting

Nikos Kourentzes, on business, AI, and hierarchical forecasting

FromForecasting Impact


Nikos Kourentzes, on business, AI, and hierarchical forecasting

FromForecasting Impact

ratings:
Length:
35 minutes
Released:
Oct 14, 2022
Format:
Podcast episode

Description

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.
Released:
Oct 14, 2022
Format:
Podcast episode

Titles in the series (38)

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: Host and chair: Mahdi Abolghasemi, edit & Marketing: Michał Chojnowski, co-host: Sevvandi Kandanaarachchi