Description
DataRobot MLOps is a specialized platform for operationalizing machine learning models at enterprise scale with comprehensive model monitoring, management, and governance capabilities. The platform provides end-to-end model lifecycle management, from deployment and monitoring to maintenance and compliance, ensuring AI systems deliver reliable business value in production environments. With its focus on model health, drift detection, and explainability, DataRobot MLOps enables organizations to maintain trust in their AI systems while providing the operational infrastructure needed to scale machine learning initiatives across the enterprise.
Key Features
- Model deployment automation
- Continuous model monitoring
- Drift and accuracy tracking
- Model governance and compliance
- A/B testing and champion-challenger
Use Cases
- Enterprise AI governance
- Model risk management
- Regulatory compliance for AI
- Production ML reliability
- Scalable AI operations
Pricing Model
Enterprise subscription with usage components
Integrations
Machine learning platforms, Model development environments, CI/CD pipelines, Monitoring systems, Governance frameworks
Target Audience
ML engineers, Data scientists, IT operations teams, Risk and compliance officers, Enterprise AI leaders
Launch Date
2019
Available On
Enterprise platform, Cloud service, Hybrid deployment
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