
Applied Artificial Intelligence in Business
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.
More details
Other editions
Additional editions

Persons
Leong Chan is an Assistant Professor in the School of Business at Pacific Lutheran University (Washington, USA). His research focuses on the application of emerging technologies in various business sectors. He is an Associate Editor of the Engineering Management Journal and serves as editorial board member for several journals and conferences.
Liliya Hogaboam is an author, consultant and a lecturer in the fields of economics and management, healthcare assessment, decision-making and AI. She has over 20 years of experience in analytics and research. She also has 10 years of entrepreneurial experience running a software services consulting company Nascentia Corp (Oregon, USA). Liliya has a number of publications in peer-reviewed journals. She co-authored the book Healthcare Technology Innovation Adoption (Springer, 2016).
Renzhi Cao is an Assistant Professor at Pacific Lutheran University (Washington, USA). His research interest is mainly focused on developing and applying machine learning and data mining techniques to solve biomedical problems. In addition, he is interested in promoting early engagement of undergraduate students (especially for women and underrepresented students) in machine learning, and the data science field by interdisciplinary studies, and inspiring students to pursue advanced STEM education/research careers.
Content
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.