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Digital Business Management : Transforming to a Data-Driven Organization Using AI / by Swen Schneider, Lutz Anderie

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Description: 1 Online-Ressource (XIV, 250 p. 319 illus., 318 illus. in color.)ISBN:
  • 9783031831775
Subject(s): Additional physical formats: 9783031831768 | 9783031831782 | 9783031831799 | Erscheint auch als: 9783031831768 Druck-Ausgabe | Erscheint auch als: 9783031831782 Druck-Ausgabe | Erscheint auch als: 9783031831799 Druck-Ausgabe | Erscheint auch als: Digital Business Management. Druck-Ausgabe Cham : Springer International Publishing AG, 2025. xiv, 250 SeitenDDC classification:
  • 658.872 23
DOI: DOI: 10.1007/978-3-031-83177-5Online resources: Summary: Effective AI Prompting -- From E Business to Digital Business -- Digital Business Strategies -- Digital Infrastructure -- ECommerce Shops and Web Presence -- Digital Marketing and Advertising -- Social and Mobile Commerce with Location Based Services -- Content Management Online Media Ethics and Fake News -- Digital Business to Business Integration -- Digital Business Analysis and Digital Transformation -- Industry and Business Cases.Summary: This book is a concise guide on using generative artificial intelligence to drive digital business management and transformation. It is divided into three parts. The first part, "How to Work with AI and Generate Success in Business," outlines the core concepts of artificial intelligence and prompt engineering and explores how these can be leveraged in a business environment. It places special emphasis on the AI Prompt Schema (AIPS) for structured prompting. The second part, "From Digital Business to a Data-Driven Organization," focuses on the essential knowledge and advanced techniques for successful Digital Business Management. It covers relevant topics, including digital business strategies, digital infrastructure, e-commerce, digital marketing and advertising, content management, the metaverse, and more. The third part, "Industry and Business Case Prompt Engineering," demonstrates how the concepts, knowledge, and techniques can be applied in real-world scenarios. This includes technology companies like Waymo, Tesla, Google/Alphabet, Meta/Facebook, Microsoft/LinkedIn, OpenAI/ChatGPT, and Google/Gemini, as well as e-commerce giants like Amazon, Alibaba, Temu, Shein, and Otto, and entertainment platforms like Netflix, Sony PlayStation, and Spotify. Drawing from many years of experience in business practice and university teaching, the authors include interactive elements such as video tutorials to support learning and the practical application of the concepts outlined. This book will be valuable to anyone interested in expanding their knowledge of digital business strategies, particularly practitioners, students, entrepreneurs, and executives.PPN: PPN: 1926697448Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-BUM | ZDB-2-SXBM
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Barrierefreier Inhalt: Table of contents navigation. Single logical reading order. Short alternative textual descriptions. Use of color is not sole means of conveying information. Use of high contrast between text and background color. Next / Previous structural navigation. All non-decorative content supports reading without sight

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