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Forecasting ImpactAuthor: Forecasting Impact
Forecasting Impact is a bimonthly podcast that aims to disseminate the science and practice of forecasting by introducing prominent academics, practitioners, and visionaries in the forecasting domain. Our vision is to help grow the forecasting community, foster collaboration between academia, industry, and governments, and promote scientific forecasting and good practices.We will discuss a range of forecasting topics in economics, supply chain, energy, social goods, AI, machine learning, data analytics, education, healthcare, and more.Forecasting Impact episodes are also available on the IIF YouTube Channel @IIForecasters.Podcast TeamChair and Co-host: Dr. Laila Ahadi-Akhlaghi, Senior Technical Advisor at JSI.Additional co-hosts: Dr. Mahdi Abolghasemi, Lecturer in Data Science at The University of Queensland,George Boretos, Founder & CEO at FutureUP,Dr. Faranak Golestaneh, Data Science Senior Manager at Commonwealth Bank of Australia,Mariana Menchero, Senior Forecaster at Nixtla, and Arian Sultan Khan, Data Analyst at VANCo-hosts in the past have included: Micha Chojnowski, Shari De Baets, Elaine Deschamps, Dr. Sevvandi Kandanaarachchi, Bahman Rostami-Tabar, Anna Sroginis, and Sarah Van der Auweraer.We welcome your feedback, questions, and suggestions. Please contact us at forecastingimpact@forecasters.org Language: en-us Genres: Business, Education, Non-Profit Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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Explainable Forecasting with Marco Peixeiro
Episode 48
Wednesday, 12 November, 2025
In this episode of Forecasting Impact, hosts Mahdi Abolghasemi and Mariana Menchero speak with Marco Peixeiro, applied data scientist at Nixtla, about the growing importance of explainability in time series forecasting. Marco shares how his work bridges research and practice, from developing deep learning models in NeuralForecast to writing educational resources that make complex forecasting concepts accessible to all.We discuss how explainability builds trust in complex models, the role of SHAP values in understanding forecasts, and what the future holds for interpretability in forecasting. Marco also gives us a preview of his upcoming book, Time Series Forecasting Using Foundation Models, exploring how foundation models are transforming the forecasting landscape.Marco’s books, including the upcoming Time Series Forecasting Using Foundations Models: https://www.manning.com/authors/marco-peixeiro
