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Introduction

Deep Learning (DL) has dramatically improved the capability of artificial intelligence (AI) systems in recent years.

Highlights

  • Enterprises will start to plan for AI in 2017.

Features and Benefits

  • Understand that diverse AI applications will appear in 2017, and IoT will be a driver.
  • Understand that an AI chip arms race will spark in 2017.

Key questions answered

  • What is currently driving AI success?
  • What AI hardware acceleration is available?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

Business trends and technology enablers

  • The impact of DL in diverse applications

Enterprises will start to plan for AI in 2017

  • AI technology will begin to impact businesses sooner than expected
  • Barriers to entry are being rapidly reduced
  • Putting together a strategy for AI

Diverse AI applications will appear in 2017

  • Autonomous driving is a key application area for AI/DL
  • Healthcare is one of the sectors most ripe for disruption by AI
  • The telecom industry is also ripe for disruption by AI
  • IoT will drive disruption by AI in 2017
  • The impact of AI on the job market
  • Ovum expects other countries to follow the example of the US in conducting AI implication studies

An AI chip arms race will spark in 2017

  • New entrants will challenge Nvidia the market leader

Appendix

  • Defining AI and artificial general intelligence (AGI)
  • Further reading
  • Author

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