| 000 | 03468nam a2200313Ia 4500 | ||
|---|---|---|---|
| 000 | 03895nam a22003375i 4500 | ||
| 001 | 978-3-658-37599-7 | ||
| 003 | DE-He213 | ||
| 005 | 20240319121103.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230301s2023 gw | s |||| 0|eng d | ||
| 020 |
_a9783658375997 _9978-3-658-37599-7 |
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| 082 | _a6.3 | ||
| 100 |
_aWeber, Felix. _937634 |
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| 245 |
_aArtificial Intelligence for Business Analytics _cby Felix Weber. _h[electronic resource] : |
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| 250 | _a1st ed. 2023. | ||
| 260 |
_aWiesbaden _bSpringer Fachmedien Wiesbaden _c2023 |
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| 300 |
_aXI, 136 p. 38 illus., 33 illus. in color. _bonline resource. |
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| 520 | _aWhile 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 |
_aArtificial intelligence. _937635 |
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| 650 |
_aArtificial Intelligence. _937636 |
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| 650 |
_aBig data. _937637 |
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| 650 |
_aBig Data. _937638 |
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| 650 |
_aBusiness information services. _937639 |
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| 650 |
_aInformation Systems Applications (incl.Internet). _937640 |
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| 650 |
_aIT in Business. _937641 |
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| 856 | _uhttps://doi.org/10.1007/978-3-658-37599-7 | ||
| 942 |
_cEBK _2ddc |
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| 999 |
_c15729 _d15729 |
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