MARC details
| 000 -LEADER |
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| fixed length control field |
03468nam a2200313Ia 4500 |
| 000 - LEADER |
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| fixed length control field |
03895nam a22003375i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-658-37599-7 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240319121103.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230301s2023 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783658375997 |
| -- |
978-3-658-37599-7 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
6.3 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Weber, Felix. |
| 9 (RLIN) |
37634 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Artificial Intelligence for Business Analytics |
| Statement of responsibility, etc. |
by Felix Weber. |
| Medium |
[electronic resource] : |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Wiesbaden |
| Name of publisher, distributor, etc. |
Springer Fachmedien Wiesbaden |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XI, 136 p. 38 illus., 33 illus. in color. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies. 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 methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form based on 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. The Content Business Analytics Artificial Intelligence AI and BA platforms Technology framework and procedure model as reference Case studies on the use of AI-based business analytics The Author Felix Weber is a researcher at the University of Duisburg-Essen with a focus on digitalization, artificial intelligence, price, promotion, assortment management, and transformation management. At the Chair of Business Informatics and Integrated Information Systems, he founded the Retail Artificial Intelligence Lab (retAIL). At the same time, he also worked on various jobs as a consultant for SAP systems in retail, Head of Data Science and as Head of ERP. He thus combines current practice with scientific research in this subfield. This book is a translation of an original German edition. 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 9 (RLIN) |
37635 |
|
|---|
| Topical term or geographic name entry element |
Artificial Intelligence. |
| 9 (RLIN) |
37636 |
|
|---|
| Topical term or geographic name entry element |
Big data. |
| 9 (RLIN) |
37637 |
|
|---|
| Topical term or geographic name entry element |
Big Data. |
| 9 (RLIN) |
37638 |
|
|---|
| Topical term or geographic name entry element |
Business information services. |
| 9 (RLIN) |
37639 |
|
|---|
| Topical term or geographic name entry element |
Information Systems Applications (incl.Internet). |
| 9 (RLIN) |
37640 |
|
|---|
| Topical term or geographic name entry element |
IT in Business. |
| 9 (RLIN) |
37641 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-658-37599-7">https://doi.org/10.1007/978-3-658-37599-7</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
