Predicting the (un)predictable: Our forecasting COVID-19 story → WebExpo

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Predicting the (un)predictable: Our forecasting COVID-19 story

TUE 21.9.

16:20 - 16:50
Lucerna Cinema

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Many real-world forecasting AI/ML models broke in 2020. Ours did too. In this talk, David will show you how Alza.cz built its Demand Forecasting Platform, how COVID-19 broke it and how it was adjusted to the COVID and post-COVID times.

David Švenka

Data Science & Analytics Lead @ Alza.cz

David leads the Data Science Team at Alza.cz, focused on developing and running data-driven solutions & products. He enjoys diving into Alza's rich data ecosystem and finding solutions to business problems across the company. David has over 8 years' experience developing predictive analytic solutions in Retail, Financial Services, Life Sciences and Energy.

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