vijay kumar ramakrishna (13 Ergebnisse)

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Paperback or Softback. Zustand: New. Digital Transformation in the AI Era: Harnessing AI to Redefine Digital Transformation. Book.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Paperback. Zustand: New.

Paperback. Zustand: new. Paperback. For more than two decades, organizations have pursued digital transformation through large, time-bound programs such as modernizing systems, migrating to the cloud, and adopting new ways of working. While many of these efforts succeed in isolation, enterprises often find themselves transforming again and again, struggling to keep pace with accelerating change and compounding complexity. In the AI era, this model no longer holds. Intelligence is no longer confined to people or processes. It is embedded in systems, platforms, agents, and data flows that operate continuously. Digital transformation is no longer something organizations complete; it becomes an enduring organizational capability. This book reframes digital transformation for a world shaped by AI. Rather than focusing on tools or trends, it examines how enterprises must evolve their architectures, operating models, governance, and leadership practices to harness intelligence responsibly and at scale. Drawing on real enterprise experience, it shows how organizations can move from episodic change to continuous reinvention without sacrificing trust, safety, or coherence. You'll explore how leading organizations are: Designing architectures for change rather than stabilityRedefining leadership around intent, guardrails, and stewardshipEnabling effective human-AI collaboration at scaleEmbedding trust, ethics, and accountability into intelligent systemsMeasuring outcomes, learning, and adaptability, not just efficiencyThis is a practical guide for executives, technology leaders, architects and engineers navigating digital transformation in the age of AI, where success is defined not by reaching a target state, but by building enterprises that can continuously learn, adapt, and evolve. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Zustand: new. Paperback. For more than two decades, organizations have pursued digital transformation through large, time-bound programs such as modernizing systems, migrating to the cloud, and adopting new ways of working. While many of these efforts succeed in isolation, enterprises often find themselves transforming again and again, struggling to keep pace with accelerating change and compounding complexity. In the AI era, this model no longer holds. Intelligence is no longer confined to people or processes. It is embedded in systems, platforms, agents, and data flows that operate continuously. Digital transformation is no longer something organizations complete; it becomes an enduring organizational capability. This book reframes digital transformation for a world shaped by AI. Rather than focusing on tools or trends, it examines how enterprises must evolve their architectures, operating models, governance, and leadership practices to harness intelligence responsibly and at scale. Drawing on real enterprise experience, it shows how organizations can move from episodic change to continuous reinvention without sacrificing trust, safety, or coherence. You'll explore how leading organizations are: Designing architectures for change rather than stabilityRedefining leadership around intent, guardrails, and stewardshipEnabling effective human-AI collaboration at scaleEmbedding trust, ethics, and accountability into intelligent systemsMeasuring outcomes, learning, and adaptability, not just efficiencyThis is a practical guide for executives, technology leaders, architects and engineers navigating digital transformation in the age of AI, where success is defined not by reaching a target state, but by building enterprises that can continuously learn, adapt, and evolve. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.