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.
