ML MODEL LIFECYCLE MANAGEMENT FOR EVERYONE

Minitab Model Ops

Operationalize. Bridge the gap between model creation and model production with a simple, yet powerful MLOps platform

En bro mellan skapande och produktion.

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.

software interface called 'Minitab Model Ops' showing a model library with four models: Customer Scoring, Bank Authentication, Churn Prediction, and Density Prediction. The status of the models is displayed, with two marked as 'deployed' and one with 'severe' issues.

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.

Computer screen displaying the Minitab Model Ops interface with a focus on the status, which shows 'Deployed' for multiple models.

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.

Two computer monitors displaying data charts; the left monitor shows production data and baseline data with bar graphs, and the right monitor shows response time over dates with a highlight on January 24th.

Production Model Governance

Laptop with a digital lock and circuit lines displayed on the screen, on a wooden table in a cafe.

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.

MINITAB MODEL OPS

Vill du veta mer om Minitab Model Ops?