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Introduction

Ovum believes architecting artificial intelligence begins with data. Ovum offers eight data-to-action techniques to help lay the foundation for architecting AI.

Highlights

  • Eight data-to-action techniques can bring AI to life.

Features and Benefits

  • Advises how enterprises should choose AI vendors and the considerations for partnership.
  • Identifies eight data-to-action-techniques necessary to lay the foundation for architecting AI.

Key questions answered

  • What are the initial steps in architecting AI for next best action?
  • How can vendors carefully match customers' specific business challenges to AI needs?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

Eight data-to-action techniques to bring AI to life

  • Conduct a data audit
  • Ensure that data governance includes GDPR qualifications
  • Seek out devices to connect to the Internet of Things
  • Consider beacon data
  • Connect the offline and online journeys and attributes
  • Apply customer identity management techniques
  • Build a connected customer graph as an information framework
  • Consider which models best suit your needs

Appendix

  • Methodology
  • Further reading
  • Author

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