Best Practice Report

Implement ModelOps To Operationalize AI

The Core Capability That Enterprises Need To Deploy, Monitor, And Govern Machine Learning Models

August 13th, 2020
Mike Gualtieri, VP, Principal Analyst
Mike Gualtieri VP, Principal Analyst
Kjell Carlsson, PhD, null
Kjell Carlsson, PhD
With contributors:
Srividya Sridharan , Jeremy Vale , Andrew Dobak

Summary

Model operations (ModelOps) is a must-have capability to operationalize AI at scale. Often referred to as machine learning operations (MLOps), ModelOps comprises tools, technologies, and practices to enable organizations to deploy, monitor, and govern machine learning models and other analytical models in production applications. Technology and data science pros should read this report to understand why ModelOps is important, the capabilities they need, and how to develop or acquire them.

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