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DataRobot

Builds and deploys accurate predictive models for data scientists of all skill levels.

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  • Knowledge Base

What is DataRobot?

DataRobot's AI Cloud platform unifies machine learning capabilities across all user types, data sources, and deployment environments, accelerating the delivery of AI to production for every organization. Trusted by a third of the Fortune 50, the platform has delivered over a trillion predictions for leading companies worldwide

Highlights

  • Democratizes data science with end-to-end automation for building, deploying, and managing machine learning models
  • Maximizes business value by delivering AI at scale and continuously optimizing performance over time
  • Encapsulates best practices and safeguards to accelerate and scale data science capabilities
  • Provides a library of hundreds of powerful open-source machine learning algorithms
  • Automatically builds and ranks multiple models for each AI use case, recommending the best fit
  • Analyzes data processing, feature engineering, and algorithm selection, and continuously monitors service health and accuracy
  • Includes an automated time series model to improve forecasting accuracy for product demand, staffing, inventory, and more
  • Automates the deployment of models from any cloud-based or on-premise ML infrastructure
  • Monitors deployed ML apps for performance issues, enabling continuous optimization, governance, and updates
  • Visually and interactively explores, combines, and shapes diverse data sets, providing AI assistance throughout data preparation activities

Platforms

  • Linux
  • Desktop Mac
  • Mobile Android
  • Mobile iPad
  • Desktop Windows
  • On-Premise Linux
  • Cloud, SaaS, Web-based
  • On-Premise Windows
  • Web
  • Mobile iPhone
  • Web-based
  • Desktop Linux
  • Desktop Chromebook

Languages

  • English
  • French
  • Japanese

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Features

    • ETL and visualization tools

    • Integration with enterprise security technologies

    • Automated machine learning

    • Ecosystem of algorithms

    • Speed

    • Distributed and self-healing architecture

    • Data accuracy

    • Data preparation

    • Hadoop cluster plug and play

    • Ease of use

    • Numerous database certifications