Minitab Model Ops

Minitab Model Ops:

Minitab Model Ops offers seamless deployment of machine learning (ML) and predictive models, catering to business analysts and engineers. Users can effortlessly deploy their own models, gaining immediate insights and accelerating the deployment process. This streamlined approach drives better business outcomes by facilitating quick and efficient model deployment.

ML Model Lifecycle Management for Everyone:

As machine learning use cases grow, the need to deploy and operationalize models has emerged. Minitab Model Ops helps business analysts and engineers successfully implement their own Machine Learning and Predictive models.

Key features of Model Ops:

1. Model Library: Centralized repository for managing ML models.
2. Upload, Deploy, and Remove Models: Streamlined process for model deployment and management.
3. Model Monitoring: Continuous monitoring of model performance.
4. Drift Report: Identification of model drift and deviation from expected behavior.
5. Stability Report: Assessment of model stability over time.
6. Email Alerts: Instant notifications for critical events or changes in model performance.
7. System and Model Audit Logs: Comprehensive logs for tracking system and model activities.

Benefits of Model Ops:

1. Efficient Model Management
2. Improved Decision Making
3. Enhanced Model Performance
4. Cost Savings
5. Regulatory Compliance
6. Accelerated Deployment
7. Increased Productivity
8. Business Agility
9. Improved Customer Satisfaction
10. Competitive Advantage

Get Started:

Experience the power of Minitab Model Ops for yourself and unlock the full potential of your machine learning and predictive models. Contact us to learn more about how Minitab Model Ops can help you deploy models effortlessly, gain immediate insights, and drive better business outcomes.

For More Information- Contact minitab.sales@ldsinfotech.com