Bridge the gap between creating templates and producing templates with a simple yet powerful MLOps platform.
IMPLEMENTATION OF THE ML MODEL
Operationalize. Bridge the gap between creating templates and producing templates 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 arisen. Minitab Model Ops helps business analysts and engineers successfully implement their own machine learning and predictive models.
Easy deployment of the model
Deploy your models effortlessly with a single click for immediate insights. Import templates easily and store them in your own model repository. Each Minitab Model Ops model can publish a REST API endpoint, making it easy to integrate into modern enterprise applications.
View model performance anywhere
Make sure your templates are working anywhere. Track key deviation and stability metrics and set critical limits for each model. View model uptime, response time, and deployment status. Receive real-time alerts as changes occur.
Governance of the Production Model
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.
System requirements:
CPU: 1.8 GHz dual core processor
RAM: 2 GB
HDD / SSD: 50 GB of free space on the main drive
Operating system: Microsoft Windows 10, Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit
Resolution: 1024×768
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