Automated Time Series
Time Series Modeling
The goal of time series modeling is to predict future performance from past behavior – such as forecasting sales over a holiday season, predicting how much staff you need for the upcoming week, or ensuring inventory meets manufacturing demands without overstocking.
Unfortunately, time series modeling can be a complex and laborious process, because many historical events can impact the current predictions and finding the most influential signals is difficult. As the environment changes, such as after introducing a new product or a competitor opening a new store, these models need to be rebuilt manually. Until now.
Accelerating AI Impact with Time Series Automation
DataRobot integrates best practices in time series modeling, including automating time series feature engineering to discover predictive signals. It also automatically detects stationarity, seasonality, transforms the target, and implements backtesting to achieve the highest possible accuracy.
High Accuracy from Model Diversity
Beyond essential and proven time series methods like ARIMA and Facebook Prophet, DataRobot includes advanced time series models that help you achieve even higher forecasting accuracy.
Ready for the Real World
Since the goal of a time series model is to both extract understanding and predict future outcomes, DataRobot offers many ways to visualize insights over time and to deploy models to production, including full API support to integrate modeling into business processes and applications.
Automated Time Series In Action
Steward Health Care, the largest for-profit private hospital operator in the United States, is using DataRobot to significantly improve operational efficiency and reduce costs among their network of 38 hospitals across the nation. Sixty percent of hospital operations expenses come from staffing alone.
With DataRobot’s improved forecasts for patient volume, Steward’s potential labor savings amount to $2 million by reducing hospital overstaffing by 1% for eight of the 38 hospitals in Steward’s network.
We have data – a lot of data – and we want to use it to our advantage. DataRobot has the tools to help us take historical data, manipulate it, and learn from it. We’ve already experienced tremendous cost and time savings with DataRobot, and these latest advancements will further transform how we forecast nurse staffing and patients’ length of stay—both of which will yield significant benefits for our hospital network.
Explore the Most Popular Resources
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![DataRobot Time Series Forecasting with AutoML resource card BG v.1.0]()
RecordingTime Series Forecasting with AutoTS on a National Medical DatabaseTo our knowledge, this is the first study to perform time series forecasting of multiple diseases at a regional level, using automated time series machine learning on a national ICD-10 dataset. This exploration highlights the fact that the deployment of AutoTS technology can help decision-makers determine key national health policies.Watch the recording -
![Using AI and Time Series Models to Improve Demand Forecasting hero banner]()
On-Demand WebinarUsing AI and Time Series Models to Improve Demand ForecastingIn this webinar, DataRobot’s Chief Scientist Michael Schmidt and General Manager of Time Series Jay Schruen will explain time series analysis and its real-world use cases with a focus on retail demand forecasting methods. The webinar will conclude with a demo of DataRobot Time Series, which makes it possible for organizations to automatically develop highly accurate time series models without programming knowledge.Watch the Webinar -
![Accelerating Time Series Analysis with Automated Machine Learning hero banner]()
Industry Analyst ReportAccelerating Time Series Analysis with Automated Machine LearningToday's businesses leverage time series data to extract greater insights about future performance measures. In this report, you’ll learn why automated machine learning tools offer important advantages over traditional analytics tools such as their simplicity, agility and the interpretability of their results.Read More -
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Data SheetTime-Aware AI: Automated Time Series AnalysisGetting value out of AI with your forecasts requires practical and timely insights. With DataRobot’s Automated Time Series, you can get the richness, impact, and detail you need when you need it. As the only proven platform that delivers on the promise of AI with ROI, the DataRobot platform is an end-to-end solution that automates the entire AI lifecycle from model creation to deployment, monitoring, and management.Download the PDF -
![Under the Hood Transforming Products with AI BKG v2 1]()
RecordingDemand Forecasting in 2021 using DataRobot AutoTSDemand forecasting with DataRobot’s Automated Time Series solves these problems and more. This session is essential for anyone seeking to create reliable, data-driven insights for a post-pandemic world.Watch the recording
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![DataRobot Time Series Forecasting with AutoML resource card BG v.1.0]()
RecordingTime Series Forecasting with AutoTS on a National Medical DatabaseTo our knowledge, this is the first study to perform time series forecasting of multiple diseases at a regional level, using automated time series machine learning on a national ICD-10 dataset. This exploration highlights the fact that the deployment of AutoTS technology can help decision-makers determine key national health policies.Watch the recording -
![Using AI and Time Series Models to Improve Demand Forecasting hero banner]()
On-Demand WebinarUsing AI and Time Series Models to Improve Demand ForecastingIn this webinar, DataRobot’s Chief Scientist Michael Schmidt and General Manager of Time Series Jay Schruen will explain time series analysis and its real-world use cases with a focus on retail demand forecasting methods. The webinar will conclude with a demo of DataRobot Time Series, which makes it possible for organizations to automatically develop highly accurate time series models without programming knowledge.Watch the Webinar -
![Accelerating Time Series Analysis with Automated Machine Learning hero banner]()
Industry Analyst ReportAccelerating Time Series Analysis with Automated Machine LearningToday's businesses leverage time series data to extract greater insights about future performance measures. In this report, you’ll learn why automated machine learning tools offer important advantages over traditional analytics tools such as their simplicity, agility and the interpretability of their results.Read More -
![]()
Data SheetTime-Aware AI: Automated Time Series AnalysisGetting value out of AI with your forecasts requires practical and timely insights. With DataRobot’s Automated Time Series, you can get the richness, impact, and detail you need when you need it. As the only proven platform that delivers on the promise of AI with ROI, the DataRobot platform is an end-to-end solution that automates the entire AI lifecycle from model creation to deployment, monitoring, and management.Download the PDF -
![Under the Hood Transforming Products with AI BKG v2 1]()
RecordingDemand Forecasting in 2021 using DataRobot AutoTSDemand forecasting with DataRobot’s Automated Time Series solves these problems and more. This session is essential for anyone seeking to create reliable, data-driven insights for a post-pandemic world.Watch the recording
