Gartner Research

Five Best Practices for Using Content to Support Smart Machine Projects

Published: 27 April 2016

ID: G00297297

Analyst(s): Karen M. Shegda, Hanns Koehler-Kruener

Summary

Smart machines have the potential to uncover useful information in enterprises' abundance of content, but much of that content exists in formats they cannot access. Enterprise content managers who pursue our best practices will be well placed to use smart machines to unlock their content's richness.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Work With Business Managers to Assign Responsibility for Content Stewardship, and Focus Efforts on Preparing Unstructured Content to Support the Desired Outcomes of Smart Machine Projects
  • Assess and Update Content Processes and Strategies to Support Smart Machine Initiatives
  • Take Advantage of Technological Advances in Document Capture to Extract Data From, and Eliminate, Paper Documents
  • Determine the Classification, Taxonomy and Metadata Needed to Make Content a Trusted Asset
  • Evaluate How, and Where, to Incorporate Text, Predictive, Social and Graph Analytics Into Content-Centric Processes

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