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Kategorie szczegółowe BISAC

Digital Business Management: Transforming to a Data-Driven Organization Using AI

ISBN-13: 9783031831768 / Angielski / Twarda / 2025 / 237 str.

Swen Schneider, Lutz Anderie
Digital Business Management: Transforming to a Data-Driven Organization Using AI Swen Schneider, Lutz Anderie 9783031831768 Springer International Publishing AG - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Digital Business Management: Transforming to a Data-Driven Organization Using AI

ISBN-13: 9783031831768 / Angielski / Twarda / 2025 / 237 str.

Swen Schneider, Lutz Anderie
cena 403,47 zł
(netto: 384,26 VAT:  5%)

Najniższa cena z 30 dni: 403,47 zł
Termin realizacji zamówienia:
ok. 22 dni roboczych
Bez gwarancji dostawy przed świętami

Darmowa dostawa!

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.

Kategorie:
Informatyka, Internet
Kategorie BISAC:
Business & Economics > E-commerce
Computers > Electronic Commerce (see also headings under Business & Economics - E-Comme
Computers > Management Information Systems
Wydawca:
Springer International Publishing AG
Język:
Angielski
ISBN-13:
9783031831768
Rok wydania:
2025
Ilość stron:
237
Wymiary:
23.5x15.5
Oprawa:
Twarda
Dodatkowe informacje:
Wydanie ilustrowane


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