Skip to main content

Save or Share this Report

For Application Development & Delivery Professionals

Introducing ModelOps To Operationalize AI

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

August 13, 2020


Why Read This Report

Model operations (ModelOps) is a must-have capability to operationalize AI at scale. Also known 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.

Get Access

Already a Client?

Log in to read this document.

Become a Forrester Client

Customers are the new market-makers, reshaping industries and changing how businesses compete and win. Success depends on how well and how fast you respond. Forrester Research gives you insights and frameworks aligned to your role to shorten the time between a great idea and a great outcome, helping your teams win in the age of the customer. Contact us to learn more.

Purchase Report

This report is available for individual purchase ($745 USD).


Table of Contents

  • Your AI Transformation Is Doomed Without ModelOps
  • Start Flexing Three Sets Of Must-Have ModelOps Muscles
  • Build Or Buy Your ModelOps Muscles
  • Recommendations

  • Do ModelOps Or Learn The Hard Way
  • Related Research Documents

Recommended Research