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Artificial Intelligence for Business

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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.

92 pages, Paperback

Published August 20, 2018

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About the author

Rajendra Akerkar

17 books1 follower

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February 9, 2020


+PROs
+written by the professor of Big Data Technologies at Western Norway Research Institute (Vestlandsforsking)
+ crash-course on AI ecosystem with all core branches & sub-branches
+ dedicated glossary & literature list at the end for the further reference
+ good choice of few visuals to show AI & data models, e.g. data pyramid, Convergence from data and intelligence

-CONs
- the books lacks deeper AI application for business analysis/business cases
- it feels very academic book, where author present all the theoretical content needed to grasp the subject of AI
- it would be great to present AI applications for business within plot structure: exposition/situation, climax/problem, resolution/solution
- this is not an entry level intro book to AI as most of the book tries to cram in all that one needs to know about AI field

Most liked Quote or how to make AI invisible for business:
"remember that the goal of any new product, service or experience is to provide the best solution for your customer. Avoid taking a technology-first approach that prefers the technology over their needs and use modern technology to provide for the needs that you identified earlier. Technology works best when it is invisible and works in the background. Artificial intelligence is no different."

SUMMA SUMMARUM
This is a book for those that have some AI knowledge and want to structurize it from the theoretical point of view with some generic applications of AI in business areas such as customer service, marketing, logistics, etc.
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