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Introduction

Artificial intelligence (AI) may well become the largest IT wave of the computer era in the decade ahead, as latest advances push the field to new levels of accuracy and innovation. The potential for AI to infuse applications, services, and products is huge.

Highlights

  • This is a good time for enterprises new to AI to initiate proof of concept trials as AI will grow in importance and become possibly the largest technology wave yet seen.

Features and Benefits

  • Understand that enterprises are already infusing ML and DL into their services and products.
  • Understand that the major cloud providers vary in the respective ML user categories they target.

Key questions answered

  • How should enterprises start their initiatives in AI?
  • What is the hardware accelerator landscape in AI?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for all enterprises
  • Recommendations for AI technology vendors

Public cloud machine learning services

  • Amazon Machine Learning
  • IBM Watson Cognitive Services and Power-based Computing
  • Google’s AI and ML activities
  • Microsoft Azure Machine Learning, Cognitive Services and Deep Learning Library Computational Network Toolkit(CNTK)

Hardware advances to accelerate AI applications

  • Vendors with microprocessors designed for AI

Appendix

  • Further reading
  • Author

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