Architecting Enterprise AI Strategies - Harjika, Rajnish
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Erscheint vorauss. 29. Mai 2026
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This book presents a practical and strategic roadmap for AI adoption through the lens of enterprise architecture. It tackles the urgent challenges organizations face, whether a startup, SMB, or large enterprise, when navigating the complexities of AI and Generative AI implementation on a global scale. Covering critical areas such as architectural readiness, governance, compliance, ethical considerations, integration hurdles, and scalability, the book provides actionable blueprints, decision frameworks, and real-world case studies to enable sustainable AI adoption.
Structured around global…mehr

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Produktbeschreibung
This book presents a practical and strategic roadmap for AI adoption through the lens of enterprise architecture. It tackles the urgent challenges organizations face, whether a startup, SMB, or large enterprise, when navigating the complexities of AI and Generative AI implementation on a global scale. Covering critical areas such as architectural readiness, governance, compliance, ethical considerations, integration hurdles, and scalability, the book provides actionable blueprints, decision frameworks, and real-world case studies to enable sustainable AI adoption.

Structured around global trends, core enterprise layers (data, application, infrastructure, and business) and varying organizational maturity levels, it uniquely bridges the gap between high-level executive vision and on-the-ground architectural execution, while keeping the Human Endpoint Principle at its core ensuring that every system ultimately serves people.

You Will:

Learn how to assessyour organization's readiness for AI and Generative AI adoption
Autorenporträt
Rajnish Harjika is a seasoned technology leader with over 20 years of global experience in enterprise architecture, AI/ML, and digital transformation across diverse industries, including banking, healthcare, and smart cities. He has held pivotal roles such as Chief Enterprise Architect and VP of Technology, spearheading large-scale AI adoption and cloud modernization initiatives across North America, the Middle East, and Asia. A sought-after keynote speaker and published author, Rajnish combines strategic foresight with deep technical expertise to empower organizations, from startups to global enterprises, to scale responsibly in the AI era. He has completed a PhD in Strategic Management with a focus on AI and Generative AI.