Overview
- Shows implications and integration opportunities of AI and business analytics
- Provides practical implementation options
- Explains algorithms,programming languages and cloud platforms.
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About this book
Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.
This book provides a concise introduction to the essential aspects of using artificial intelligence methodsfor business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company.
This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
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Table of contents (4 chapters)
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Bibliographic Information
Book Title: Artificial Intelligence for Business Analytics
Book Subtitle: Algorithms, Platforms and Application Scenarios
Authors: Felix Weber
DOI: https://doi.org/10.1007/978-3-658-37599-7
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2023
Softcover ISBN: 978-3-658-37598-0Published: 02 March 2023
eBook ISBN: 978-3-658-37599-7Published: 01 March 2023
Edition Number: 1
Number of Pages: XI, 136
Number of Illustrations: 5 b/w illustrations, 33 illustrations in colour
Topics: Artificial Intelligence, Information Systems Applications (incl. Internet), IT in Business, Big Data