Artificial Intelligence for Business

Zusatztext

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 deals with deep learning, a common technique for developing AI applications. Chapter 3 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 4 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 5 covers observations and insight on employing AI solutions in business. Finally Chapter 6 sketches AI applications in different business domains in order to evaluate limitations, risks and challenges of AI.

Autorenportrait

Rajendra Akerkar holds masters in applied mathematics and doctorate in computer science. He is a professor of Information Technology at Vestlansforsking (Western Norway Research Institute), Norway. He leads big data research group at the institute. His research and teaching experience, in artificial intelligence and related subjects, includes over 26 years in the Academia spanning universities in Asia, Europe and North America. Rajendra received prestigious BOYSCASTS Young Scientist award of Department of Science & Technology, Government of India, in 1997. He was UNESCOTWAS Associate Professor from 19982001. He is an editorinchief of International Journal of Computer Science & Applications, and also an associate editor of International Journal of Metadata, Semantics and Ontologies and Knowledge Management Track Editor of Web Intelligence, an international journal. His research focuses on application of big data methods to business challenges, and social media analysis in a wide set of semantic dimensions. He currently coordinating projects funded by Research Council of Norway and EU-funded Horizon 2020 programme. He is actively involved in several international ICT initiatives for more than 21 years.

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