Verwandte Artikel zu Artificial Intelligence for Business Analytics: Algorithms,...
Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios - Softcover
Inhaltsangabe
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 digitalization, 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 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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Felix Weber is a scientist at the University of Duisburg-Essen with a research focus on digitalization, artificial intelligence, price, promotion and assortment management, and transformation management. At the Chair of Information Systems and Integrated Information Systems, he is the founder of the Retail Artificial Intelligence Lab (retAIL) and at the same time a senior consultant for SAP systems in wholesale and retail. He thus combines current practice with scientific research in this subfield.
Von der hinteren Coverseite
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 foundedthe 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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 56,18
EUR 6,87 für den Versand von USA nach Deutschland
Versandziele, Kosten & Dauer
Suchergebnisse für Artificial Intelligence for Business Analytics: Algorithms,...
Beispielbild für diese ISBN
Artificial Intelligence for Business Analytics : Algorithms, Platforms and Application Scenarios
Verlag:
Springer Fachmedien Wiesbaden, 2023
ISBN 10: 3658375981
ISBN 13: 9783658375980
Gebraucht
Softcover
Anbieter: Buchpark, Trebbin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: Gut. Zustand: Gut | Seiten: 148 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 41507919/3
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Artificial Intelligence for Business Analytics : Algorithms, Platforms and Application Scenarios
Verlag:
Springer Fachmedien Wiesbaden, 2023
ISBN 10: 3658375981
ISBN 13: 9783658375980
Gebraucht
Softcover
Anbieter: Buchpark, Trebbin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 148 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 41507919/1
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios
Verlag:
Springer Vieweg (edition 1st ed. 2023), 2023
ISBN 10: 3658375981
ISBN 13: 9783658375980
Neu
Paperback
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. 1st ed. 2023. Brand new item, never opened! Ship within 24hrs. APO/FPO addresses supported. Artikel-Nr. 3658375981-9-1
Anzahl: 1 verfügbar
Foto des Verkäufers
Artificial Intelligence for Business Analytics
ISBN 10: 3658375981
ISBN 13: 9783658375980
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -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 digitalization, 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.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 148 pp. Englisch. Artikel-Nr. 9783658375980
Anzahl: 2 verfügbar
Foto des Verkäufers
Artificial Intelligence for Business Analytics : Algorithms, Platforms and Application Scenarios
Verlag:
Springer Fachmedien Wiesbaden, 2023
ISBN 10: 3658375981
ISBN 13: 9783658375980
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering. Artikel-Nr. 9783658375980
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 147 pages. 9.45x6.61x0.32 inches. In Stock. Artikel-Nr. x-3658375981
Anzahl: 2 verfügbar