skip to main content
Close Icon We use cookies to improve your website experience.  To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.  By continuing to use the website, you consent to our use of cookies.
Global Search Configuration

Introduction

The subfield in artificial intelligence (AI) known as machine learning or cognitive computing has in recent years become highly active as techniques such as deep learning and IBM’s Watson initiative have given rise to improved performance in their generalization capabilities.

Highlights

  • Deep Learning based neural networks have created a step change improvement in the accuracy of AI systems, enabling human-machine interface through speech.

Features and Benefits

  • Understand that the combination of Deep Learning algorithms accelerated on GPUs has been the pivotal breakthrough that has also accelerated progress in the field.
  • Understand that there are two kinds of AI: Type A aims to be a true artificial brain, and Type B which has a scope limited to performing useful specific tasks intelligently.

Key questions answered

  • What is deep learning and how can I use it in practice?
  • What are the type of AI systems on the market?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

Deep learning-based neural networks have created a step change improvement in the accuracy of AI systems

  • The impact of deep learning

Business applications powered by deep learning are now available

  • Startups are emerging with deep learning-based applications
  • The next decade: a market for AI systems worth billions

The combination of deep learning algorithms accelerated on GPUs has been the pivotal breakthrough

  • The ImageNet competition shows a 26% to 5% error rate improvement in the last five years
  • Nvidia is the main player in the GPU accelerated AI market
  • Open source and sharing of knowledge is helping accelerate AI innovation

There are two kinds of AI and only one is practical for businesses

  • Defining AI
  • Dark side of AI

Appendix

  • Further Reading
  • Author

Recommended Articles

  • Consumer & Entertainment Services

    US pay TV: Is it facing an existential threat?

    By Adam Thomas 28 Mar 2018

    With US pay TV having endured the worst year in its history, thoughts have inevitably turned to the future. The likelihood remains that the immediate future will remain highly uncomfortable for everyone except the scaled multinational digital platforms.

  • Enterprise Decision Maker, Enterprise IT Strategy and Select...

    2017 Trends to Watch: Big Data

    By Tony Baer 21 Nov 2016

    The breakout use case for big data will be fast data. The Internet of Things (IoT) is increasing the urgency for enterprises to embrace real-time streaming analytics, as use cases from mobile devices and sensors become compelling to a wide range of industry sectors.

    Topics Big data and analytics IoT

  • Enterprise Services

    5G: Another technology in search of enterprise use cases

    By Evan Kirchheimer 26 Apr 2018

    Service provider interest in justifying 5G investment through its potential to open new revenue streams from the enterprise segment is growing ever greater.

;

Have any questions? Speak to a Specialist

Europe, Middle East & Africa team - +44 (0) 207 017 7700


Asia-Pacific team - +61 (0)3 960 16700

US team - +1 646 957 8878

Email us at ClientServices@ovum.com

You can also contact your named/allocated Client Services Executive using their direct dial.
PR enquiries - Call us at +44 788 597 5160 or email us at pr@ovum.com

Contact marketing - 
marketingdepartment@ovum.com

Already an Ovum client? Login to the Knowledge Center now