On demand webinar
Automated time series modelling with DataRobot
This webinar shows how DataRobot’s Automated Time Series delivers advanced, AI-driven forecasting with minimal set-up. Learn how to generate multi-series forecasts, use automated clustering, handle missing data and assess accuracy with time-aware back tests.

Access this on-demand session to see how DataRobot enables organisations to move beyond manual or simplistic forecasting methods and apply advanced AI-driven models using Automated Time Series. The platform streamlines the entire forecasting workflow, allowing you to create sophisticated predictions with minimal configuration while benefiting from powerful algorithms and automated data preparation.
You will learn how to generate forecasts across multiple trends, use automated clustering to group related series, and take advantage of DataRobot’s built-in preprocessing to handle missing data and create useful predictors. The session also demonstrates how the platform assesses model accuracy using automatic, time-aware back tests, helping you understand model performance before deployment.
This on-demand introduction is ideal for anyone interested in modern, automated forecasting techniques and the practical capabilities of DataRobot’s time series tools.
- Create sophisticated, AI-driven forecasts using advanced algorithms with minimal set-up
- Generate forecasts for multiple trends and aggregate series into groups using automated clustering
- Automatically pre-process data to handle gaps and create predictors
- Assess model accuracy with built-in, automatic time-aware back tests
