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Introduction

With the spotlight on machine learning, it was only a matter of time before simplified self-service tools became available that would open it up beyond data scientists to database and application developers at large.

Highlights

  • Analyzes the emerging wave of self-service tools for machine learning and deep learning that are aimed at specific use cases.

Features and Benefits

  • Compares the self-service machine learning/deep learning offerings from Amazon, Microsoft Azure, and Google Cloud.
  • Analyzes how these cloud-based self-service offerings provide carefully curated experiences that can be used by practitioners who are not AI specialists.

Key questions answered

  • How do the self-service machine learning offerings from the leading cloud providers compare?
  • How are the experiences curated to make them appeal to less sophisticated practitioners?

Table of contents

Ovum view

  • Summary
  • Machine learning is getting democratized
  • Self-service machine learning is curated, but in different ways
  • CIO to enterprise: Resistance is futile

Appendix

  • Further reading
  • Author

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