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Autor(en): 
  • ATUL SINGH
  • Deepti Chaudhary
  • Digital AI Transformation: Navigating the Future of AI in Microsoft and Beyond 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (Juli 2026)  
    Genre:  EDV / Informatik 
     
    Agentic AI / AI for Business / AI Transformation / Artificial Intelligence / Artificial intelligence roadmap / Enterprise AI governance / Future of Artificial Intelligence / machine learning
    ISBN:  9798868827518 
    EAN-Code: 
    9798868827518 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D  
    Seiten:  192 
    Illustration:  II, 192 p. 20 illus., 19 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:

    Artificial intelligence is no longer an emerging capability—it is reshaping how organizations compete, operate, and grow. Yet many organizations struggle to move beyond experimentation toward sustained, enterprise¿wide impact. Digital AI Transformation provides a clear, practical guide to navigating this shift with confidence, discipline, and purpose.

    This book introduces digital AI transformation as a strategic evolution, not a technology project. It traces the rise of AI as a defining force across business, society, and technology, while grounding that context in practical decision¿making. Readers build a strong foundation through accessible explanations of AI and machine learning concepts that matter at the enterprise level—without requiring a technical background. The book also explores the impact of AI across business functions such as Finance, HR, Marketing, and Operations.

    Distinctively, the book places equal emphasis on people and systems. Successful transformation depends not only on models and platforms, but on leadership, operating models, and a culture capable of continuous learning. The book explores how organizations can develop the skills, mindset, and governance needed to responsibly adopt AI at scale.

    Advanced sections address enterprise¿ready architectures, including AI landing zones and multi¿agent systems, demonstrating how coordinated AI capabilities can solve complex organizational and real¿world challenges. The closing chapters look ahead, identifying emerging trends and strategic inflection points while providing a practical roadmap to help organizations anticipate disruption and act ahead of competitors.

    What sets this book apart is its integrated perspective. It combines strategic foresight, hands¿on guidance, and ethical responsibility—connecting technology decisions to measurable business impact. The approach aligns enterprise AI strategy with execution, measurement, and continuous improvement, delivered in a clear and engaging executive voice.

    What You Will Learn

    • Evaluate enterprise readiness and shape transformative AI strategies that redefine growth
    • Build agile, future¿ready organizations empowered by innovation, talent, and intelligent operating models
    • Understand emerging trends shaping enterprise AI, from multi¿agent systems to industry¿wide disruption
    • Lead with vision and conviction to convert AI opportunities into lasting enterprise value

    Who This Book is For

    Whether you are a C-suite executive, digital strategist, innovator, or a professional preparing for tomorrow’s careers, this book equips you with the insight and practical wisdom to navigate and excel in the AI-driven era.

      



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