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Forecasting Impact is a monthly podcast which aims to disseminate the science and practice of forecasting by introducing prominent academics and practitioners in the forecasting domain. Our vision is to help and grow the forecasting community, foster collaboration between academia, industry and governments, and promote scientific forecasting and good practices.

We will discuss a wide range of forecasting topics in economics, supply chain, energy, social goods, AI, machine learning, data analytics, education, healthcare, and more.

Podcast Team
Chair and Co-host: Dr. Mahdi Abolghasemi, Lecturer in Data Science, The University of Queensland
Co-host: Sevvandi Kandanaarachchi, Senior Research Scientist, CSIRO
Editing and marketing: Michał Chojnowski

We welcome your feedback, questions and suggestions [email protected]


New Episode Mastering the rare art of machine learning deployment with Eric Siegel

In this episode of our podcast, we delve into the intricate world of machine learning (ML) deployment with Dr. Eric Siegel, author of the book “AI Playbook, Mastering the Rare Art of Machine Learning Deployment”.

Dr. Siegel, once an avid advocate of ML, now approaches the field with a disciplined yet optimistic perspective. He shares invaluable insights on how businesses can effectively implement ML strategies. Our discussion revolves around a range of compelling topics, from the inspiring story of Jack from UPS, who leveraged his psychology background to revolutionize parcel delivery, to the common pitfalls that cause many ML projects to fail.

Eric elucidates the six crucial steps for ML deployment, emphasizing the importance of ethical considerations in this rapidly evolving field. Whether you’re a student, a business leader, or just an AI enthusiast, this episode offers a treasure trove of knowledge and strategies to navigate the complex landscape of machine learning deployment.


Michele Trovero, leader of the Forecasting R&D group at SAS, and Spiros Potamitis, Data Scientist and Product Marketing Manager at SAS
Martie-Louise Verreynne, University of Queensland
David Schmitt, Insight Transportation Consulting, Inc.
Stephan Kolassa (SAP), Bahman Rostami-Tabar (Cardiff Univ), and Enno Siemsen (Univ of Wisconsin)
Priyanga Dilini Talagala, University of Moratuwa, and Thiyanga Talagala, University of Sri Jayewardenepura
George Athanasopoulos, Monash University
Forecasting Software Panel (Rob Hyndman, Federico Garaz, and Eric Stellwagen)
Eric Siegel, Consultant
Scott Cunningham, University of Strathclyde
Tao Hong, University of North Carolina at Charlotte


Galit Shmueli, National Tsing Hua University
Ataman Ozyildirim, The Conference Board
Nikolaos Kourentzes, University of Skövde
Polly Mitchell-Guthrie, Kinaxis
Trevor Sidery, Tesco PLC
Jim Hoover, University of Florida
Len Tashman, Founding editor of Foresight
Jennifer Castle, Oxford University
Evangelos Spiliotis, National Technical University of Athens
Paul Goodwin, University of Bath
Elaine Deschamps, Washington State Caseload Forecast Council
John Boylan, Lancaster University and Aris Syntetos, Cardiff University


Anne Robinson, Kinaxis
Feng Li, Central University of Finance and Economics
Nada Sanders, Northeastern University
Pierre Pinson, Technical University of Denmark
Bahman Rostami-Tabar, Cardiff University
Michael Gilliland, SAS
George Athanasopoulos and Pam Stroud, Monash University & IIF
Spyros Makridakis, University of Nicosia
Stephan Kolassa, SAP AG
Gloria Gonzalez-Rivera, University of California
Robert Fildes, Lancaster University
Rob Hyndman, Monash University