Gartner Research

Operational AI Requires Data Engineering, DataOps and Data-AI Role Alignment

Published: 22 December 2020

ID: G00737307

Analyst(s): Robert Thanaraj , Erick Brethenoux

Summary

Very few organizations are successful in operational AI. One major gap is failing to manage data dependencies. Data and analytics leaders need interdisciplinary practices that combine data management and AI disciplines to operationalize AI solutions and deliver the promised business outcomes of AI.

Table Of Contents

Overview

Strategic Planning Assumption

Introduction

Analysis

Gartner Recommended Reading

Note 1: Logical Data Warehouse and Operationalizing AI Models

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