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Time series machine learning models allow organisations to predict future values based on past and present data, which means they can use time series to solve critical problems such as optimising staffing levels, managing inventory, forecasting future product demand, and more. During his session, Lukas will explain time series analysis and its real-world use cases with a focus on retail demand forecasting methods including a demo of DataRobot Time Series, which makes it possible for organisations to automatically develop highly accurate time series models without programming knowledge.

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