Gartner Research

Create a Data Strategy to Ensure Success in Machine Learning Initiatives

Published: 27 January 2021

ID: G00741114

Analyst(s): Georgia O'Callaghan

Summary

Data is crucial to the success of ML initiatives, but the complexity of diverse data requirements across projects necessitates a clear data strategy for ML. Data and analytics technical professionals can use this guide to build a data strategy to deliver trusted, timely data to ML workloads.

Table Of Contents

Overview

Problem Statement

The Gartner Approach

The Guidance Framework

Risks and Pitfalls

Gartner Recommended Reading

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