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Paperback IMOAI Intelligent Management of Artificial Intelligence (English Edition) Book

ISBN: B0GKG3V87H

ISBN13: 9798246091944

IMOAI Intelligent Management of Artificial Intelligence (English Edition)

n a world marked by geopolitical instability, accelerated automation, and decisions increasingly driven by algorithms, one unavoidable question emerges:

How can Artificial Intelligence be used without losing control over it?

This book introduces IMOAI (Intelligent Management of Artificial Intelligence), an intelligent management and governance model created to overcome the limitations of traditional frameworks in highly automated, AI-driven digital environments.

Based on an academic and professional trajectory that began in 2007 and updated for the challenges of 2026, IMOAI integrates and expands well-established practices such as:

ITIL

MOF

COBIT

PMI

ISO/IEC 27001 and 27002

Agile, Lean, and DevOps

Rather than merely presenting frameworks, this book explains why they fail when applied in isolation and demonstrates that complexity cannot be eliminated, only governed.

The model addresses critical dimensions such as:

Information security

Governance and risk management

Integration between human and algorithmic decision-making

Continuous learning and adaptive cycles

Results maximization

IMOAI is not software, nor just another technical framework.
It is a governance model for living decision systems, capable of balancing autonomy and control, innovation and responsibility, efficiency and security.

Aimed at managers, IT leaders, governance professionals, information security specialists, and strategists, this book demonstrates why failing to govern Artificial Intelligence is no longer a technical flaw, but a high-risk strategic decision.

Artificial Intelligence must be a strategic ally, not a dominant force.
The true differentiator remains human judgment: thinking, deciding, creating, and governing.

This book does not close the debate.
It establishes a new paradigm for governing Artificial Intelligence at scale, with responsibility, sustainability, and a clear focus on real-world results.

Recommended

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