Gartner Research

Use 3 MLOps Organizational Practices to Successfully Deliver Machine Learning Results

Published: 02 July 2020

ID: G00725629

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

Summary

Data and analytics leaders can help ensure machine learning models will be successful in production by structurally aligning machine learning operationalization functions. This alignment includes identifying skills, defining roles and early collaboration points in the development cycle.

Table Of Contents

Overview

Strategic Planning Assumption

Introduction

Analysis

Gartner Recommended Reading

Note 1: Analytical Assets

Note 2: MLOps

Note 3: ModelOps (AI Model Operationalization)

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