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Introducing Minitab Model Ops ›
Minitab Model Ops
Operationalize. Bridge the gap between model creation and model production with a simple, yet powerful MLOps platform.
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.
- Deploy
- Monitor & Manage
- Govern
Easy Model Deployment
Deploy your models effortlessly with a single click for immediate insights. Easily import models and store them in your own model repository. Every Minitab Model Ops model can publish a REST API endpoint, making it easy to integrate into modern enterprise applications.
View Model Performance From Anywhere
Verify your models are performing from anywhere. Track key drift and stability metrics and set critical thresholds for each model. View model uptime, response time and deployment status. Get alerts in real-time as changes occur.
Production Model Governance
Deliver your models securely and ensure compliance with an audit log. Control access, track changes and create a traceable update history to ensure regulatory compliance and minimize audit risk.
See How Our Clients Use Minitab Model Ops
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Education Hub
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On-site or Virtual Training
Gain insight into your data and improve your abilities with courses guided by expert statisticians.
Statistical Consulting
Let our statistical consultants help you solve your quality improvement problems.
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Access the help you need to use our software from representatives who are knowledgeable in statistics, quality improvement, and computer systems.