DataRobot is an artificial intelligence (AI) company that has developed an automated machine learning platform that helps businesses quickly build, deploy, and manage machine learning models.
DataRobot provides users with a visual interface that allows users to simplify complex machine learning processes and complete tasks such as data preparation, feature engineering, model selection and deployment with just drag and drop. The platform also uses automated feature selection, model tuning, and deployment capabilities to improve the efficiency and accuracy of machine learning.
DataRobot provides a large number of pre-modeled models and adaptive algorithms that users can customize and train according to their needs. These algorithms can be used in a wide range of applications, such as finance, retail, insurance, healthcare, etc., and users can create and customize models according to their needs.
DataRobot also provides users with data set management, model versioning, and a comprehensive visualization and analysis platform to help them better manage and update machine learning models to stay in tune with business needs.
DataRobot is a powerful AI platform that enables businesses to build and deploy machine learning models faster and more accurately. DataRobot's automation capabilities make the platform more suitable for enterprises, especially those without dedicated data scientists and machine learning experts.
Value at Manufacturing Scale
To quickly reap the benefits of AI, iterate and experiment with code-first or no-code choices. Collaboration and productivity are improved through explainable automation of best practices, guardrails, and cutting-edge models.
Experience with Collaborative Experimentation
Release models from DataRobot or other parties into production with essential ML and automation features. Use DevOps technologies and techniques to improve communication between the data science and IT operations teams.
Guaranteed compliance and governance
Manage models to the highest standards, automatically document model behavior, and automate and adapt model performance testing. Manage access and production model changes to comply with rules and lower total risk.