Gartner Research

12 Steps to Artificial Intelligence for IT Operations Excellence

Published: 18 August 2017

ID: G00333595

Analyst(s): Pankaj Prasad , Will Cappelli , Colin Fletcher

Summary

To obtain maximum value from artificial intelligence for IT operations (AIOps) platforms, I&O leaders must radically modify IT operations tasks and processes, following the 12 steps outlined in this note.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Establish Your Organization's Starting Point for Deploying AIOps by Selecting a Small Number of Test Cases and Determining Your Existing Resources
  • Deploy AIOps Technologies and Processes for Reactive Use Cases by Applying Visualization and Statistical Analysis to a Historical Semistructured Database of IT Operations Data
  • Deploy AIOps Technologies and Processes for Proactive Use Cases by Deploying Machine Learning and Causal Analytics to Both Streaming and Historical IT Operations Data
  • Extend Your AIOps Capabilities Across the Enterprise by Applying Its Processes and Technologies to a Broad Range of Business, Application and Infrastructure Issues

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