Digital Business Management
Transforming to a Data-Driven Organization Using AI
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Beschreibung
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.
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.
Provides a comprehensive overview of digital business management and its transformation Outlines how AI and prompt engineering can be used to generate success in business transformation Showcases real-world case studies of successful AI implementations by companies like Airbnb, Uber and Amazon
Autor*in
Swen Schneider
Themen in »Digital Business Management«
Digital business management E-commerce Business process modeling Applied AI Robotic process automation Trust on the Internet Platform economy Sharing economy eStrategy Value chains Internet infrastructure Mobile infrastructure Cloud computing ePayments Blockchain