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Artificial Intelligence for Business

  • Rajendra¬†Akerkar

Part of the SpringerBriefs in Business book series (BRIEFSBUSINESS)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Rajendra Akerkar
    Pages 1-18
  3. Rajendra Akerkar
    Pages 19-32
  4. Rajendra Akerkar
    Pages 33-40
  5. Rajendra Akerkar
    Pages 41-52
  6. Rajendra Akerkar
    Pages 53-62
  7. Rajendra Akerkar
    Pages 63-74
  8. Back Matter
    Pages 75-81

About this book

Introduction

This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.

Keywords

Prediction Clustering Big Data Artificial Intelligence AI Smart Marketing Competitive Intelligence Intelligent Customer Service Deep Learning Natural Language Processing Machine Learning Data Science

Authors and affiliations

  • Rajendra¬†Akerkar
    • 1
  1. 1.Western Norway Research InstituteSogndalNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-97436-1
  • Copyright Information The Author(s), under exclusive license to Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-97435-4
  • Online ISBN 978-3-319-97436-1
  • Series Print ISSN 2191-5482
  • Series Online ISSN 2191-5490
  • Buy this book on publisher's site