Add external data to time series forecasts
How it Works
We provided access to the Ready Signal UI and API for integration with DataRobot to augment your time series projects. An example workflow is laid out in the AI Accelerator. Ready Signal’s AutoDiscovery feature automatically compares your target variable to the 500+ control features within Ready Signal. It identifies the features that are most useful for predicting the target variable. Machine learning model can be then developed and deployed with augmented dataset in DataRobot.
The workflow can be applied to any time series forecasting project. Data Science consulting and implementation services are available through Ready Signal.
- All data sources available in Ready Signal
- Feature aggregation and signal discovery in Ready Signal
- Time Series models in DataRobot
- Expertise from both DataRobot and Ready Signal to provide consulting and implementation services
About the Partner
Ready Signal is an AI-powered data platform that provides access to over 500 normalized, aggregated, and automatically updated data sources for predictive modeling, experimentation, business intelligence, and other data enrichment needs. Ready Signal provides a comprehensive control data catalog with an AI-powered recommendation engine to help DataRobot users find highly relevant leading indicators from external sources and seamlessly integrate them into your ML Experimentation & Models. The data catalog includes micro/macro-economic indicators, labor statistics, demographics, weather, and more. Its AI recommendation engine and auto feature engineering capabilities make it easy to integrate with existing data pipelines and analytics tooling, accelerating and enhancing how relevant third-party data is leveraged. Ready Signal saves data science organizations time from having to manually procure, test, and engineer control data that has a material impact on model performance and predictions.