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 ...
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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 ...
Martie-Louise Verreynne, on Innovation & University-Industry Collaboration
Forecasting Impact
49 minutes
2 years ago
Martie-Louise Verreynne, on Innovation & University-Industry Collaboration
Martie-Louise Verreynne is a Professor in Innovation and Associate Dean (Research) in the Faculty of Business, Economics and Law, at the University of Queensland. Prof. Martie-Louise Verreynne joined us to discuss the evolving partnership between academia and industry. While not a new concept, it has significantly transformed over the years, with over 40% of global patents now stemming from this collaboration, underscoring its growing importance in innovation. We examined the keys to success...
Forecasting Impact
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 ...
