Transforming business management data driven (27 Ergebnisse)
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Taschenbuch. Zustand: Neu. Digital Business Management | Transforming to a Data-Driven Organization Using AI | Swen Schneider (u. a.) | Taschenbuch | xiv | Englisch | 2026 | Springer | EAN 9783031831799 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springe…r[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Transforming Business Management With Ai, Bi and Data-driven Decision-making
Gupta, Swati (EDT); Taneja, Sanjay (EDT); Davim, J. Paulo (EDT)
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 concept…s 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.
Transforming Business Management With Ai, Bi and Data-driven Decision-making
Gupta, Swati (EDT); Taneja, Sanjay (EDT); Davim, J. Paulo (EDT)
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Transforming Business Management With Ai, Bi and Data-driven Decision-making
Gupta, Swati (EDT); Taneja, Sanjay (EDT); Davim, J. Paulo (EDT)
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Transforming Business Management With Ai, Bi and Data-driven Decision-making
Gupta, Swati (EDT); Taneja, Sanjay (EDT); Davim, J. Paulo (EDT)
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Transforming Business Management With Ai, Bi and Data-driven Decision-making
Gupta, Swati (Editor)/ Taneja, Sanjay (Editor)/ Davim, J. Paulo (Editor)
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Hardcover. Zustand: new. Hardcover. In todays rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and datadriven decisionmaking are transforming traditional business management practices and leading to unpa…ralleled innovation and efficiency.Transforming Business Management with AI, BI, and DataDriven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate realworld applications of AI and BI as decisionmaking tools, this book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in todays dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving datadriven decisionmaking at the highest level are also offered.By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields. This book discusses how artificial intelligence (AI), business intelligence (BI), and data-driven decision-making are transforming traditional business management practices, leading to unparalleled innovation and efficiency. It covers practical uses to illustrate the real-world applications of AI and BI as decision-making tools. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Zustand: new. Hardcover. In todays rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and datadriven decisionmaking are transforming traditional business management practices and leading to unpa…ralleled innovation and efficiency.Transforming Business Management with AI, BI, and DataDriven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate realworld applications of AI and BI as decisionmaking tools, this book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in todays dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving datadriven decisionmaking at the highest level are also offered.By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields. This book discusses how artificial intelligence (AI), business intelligence (BI), and data-driven decision-making are transforming traditional business management practices, leading to unparalleled innovation and efficiency. It covers practical uses to illustrate the real-world applications of AI and BI as decision-making tools. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Zustand: new. Hardcover. In todays rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and datadriven decisionmaking are transforming traditional business management practices and leading to unpa…ralleled innovation and efficiency.Transforming Business Management with AI, BI, and DataDriven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate realworld applications of AI and BI as decisionmaking tools, this book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in todays dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving datadriven decisionmaking at the highest level are also offered.By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields. This book discusses how artificial intelligence (AI), business intelligence (BI), and data-driven decision-making are transforming traditional business management practices, leading to unparalleled innovation and efficiency. It covers practical uses to illustrate the real-world applications of AI and BI as decision-making tools. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
