Gartner Research

Use Gartner’s 3-Stage MLOps Framework to Successfully Operationalize Machine Learning Projects

Published: 02 July 2020

ID: G00725627

Analyst(s): Shubhangi Vashisth , Erick Brethenoux , Jim Hare , Farhan Choudhary

Summary

Organizations struggle to integrate AI solutions with existing production applications, wasting time and money on data science projects that are never put in production. Data and analytics leaders can greatly reduce the risk of such failures with three stages that create a framework for MLOps.

Table Of Contents

Overview

Strategic Planning Assumption

Introduction

Analysis

Gartner Recommended Reading

Note 1: Analytical Assets

Note 2: ModelOps

Note 3: Model Evaluation Techniques

Note 4: Multiarmed Bandits

Note 5: Gartner’s Definition of Governance

Note 6: Operationalization at Scale

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