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Introduction

Enterprises are looking at how artificial intelligence (AI) can support and improve their business. The branch of AI that is most relevant here is machine intelligence, which implements machine learning technologies to create systems that augment or assist humans in their work.

Highlights

  • The number of AI-related service and application providers will continue to grow as investment in AI continues. Enterprises will start to infuse machine intelligence into their development of applications, products, and services. There is increasing awareness of the need to regulate AI, a technology that has potential for great good, but also great harm if misused.

Features and Benefits

  • Learn how enterprises will soon be facing a world where AI will be commonplace and understand what action they need to take now.
  • Understand the options in gaining skills in AI.

Key questions answered

  • What possibilities will the launch of new AI hardware accelerators create in 2018?
  • What will the key trends in machine intelligence be in 2018?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

AI start-ups are in abundance and the field is still in an emergent state

  • AI research advances have rapidly turned into commercial ventures
  • The next major breakthrough in AI is likely to result from further advances in AI hardware acceleration
  • Ethics of AI is an increasing concern

Enterprises will soon be facing a world where AI is commonplace so they need to act now

  • Dealing with job anxiety
  • Creating an AI-ready enterprise
  • Easy to use machine intelligence and analytics platforms

Appendix

  • Further reading
  • Author

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