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Beschreibung

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 assess your organization's readiness for AI and Generative AI adoption



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 assess your organization's readiness for AI and Generative AI adoption



Über den Autor
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.
Inhaltsverzeichnis

1:The Global Shift to AI - Hype vs. Reality.- Strategic Foundations - 2.:The Role of Enterprise Architecture in AI Adoption.- 3:Challenges Across the AI Journey-From Startups to Global Enterprises.- 4: Data-The Real AI Enabler.- 5: Architecting AI at Scale-Technical Patterns and Platforms.- 6: Real World Use Cases-AI That Actually Works.- 7: Guardrails for Innovation-Governance, Ethics, and Responsible AI.- 8: Future Ready Strategy-Building a Culture of AI Transformation.- 9: Summary.

Details
Erscheinungsjahr: 2026
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: xxviii
295 S.
22 s/w Illustr.
295 p. 22 illus.
ISBN-13: 9798868822186
Sprache: Englisch
Herstellernummer: 89577079
Einband: Kartoniert / Broschiert
Autor: Harjika, Rajnish
Auflage: First Edition
Hersteller: Apress
Apress L.P.
Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 254 x 178 x 18 mm
Von/Mit: Rajnish Harjika
Erscheinungsdatum: 29.05.2026
Gewicht: 0,612 kg
Artikel-ID: 134506828

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