Deployments - Teradata Vantage

ClearScape Analytics ModelOps User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Vantage
Release Number
7.0
Published
April 2023
Language
English (United States)
Last Update
2023-04-19
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B700-1175

After the model training and evaluation processes are complete, the best-performing models are deployed to production. Model deployment is a way to integrate a model into an existing production environment to make practical business decisions based on data.

Model deployment is one of the last stages in the model lifecycle and one of the most difficult processes of gaining value from machine learning. It requires coordination between Data Scientists, IT teams, software developers, and business professionals to ensure the model works reliably in the organization’s production environment.

The ModelOps UI provides you an effective and seamless method to deploy your models into production that helps you start using them to make practical decisions.

Use the Deployments module to monitor all model versions of a project that are deployed to production. It allows you to view the deployments in production and take an action based on the models' performance. This section covers the following topics: