Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities

  • Francesco Corea

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Francesco Corea
    Pages 1-9
  3. Francesco Corea
    Pages 11-19
  4. Francesco Corea
    Pages 21-26
  5. Francesco Corea
    Pages 27-38
  6. Francesco Corea
    Pages 39-44
  7. Francesco Corea
    Pages 45-45

About this book

Introduction

Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from today. Although AI can change our lives, it comes also with some responsibilities. We need to start thinking about how to properly design an AI engine for specific purposes, as well as how to control it (and perhaps switch it off if needed). And above all, we need to start trusting our technology, and its ability to reach an effective and smart decision.

 

 

Keywords

Computational Intelligence Big Data Robotics Machine Learning Venture Funding

Authors and affiliations

  • Francesco Corea
    • 1
  1. 1.RomeItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51550-2
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-51549-6
  • Online ISBN 978-3-319-51550-2
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • About this book
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