Architecting Enterprise AI Strategies

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 coreensuring that every system ultimately serves people.

You Will:

• Learn how to assess your organization's readiness for AI and Generative AI adoption

• Discover frameworks that align AI with business goals, governance, and compliance while confronting ethical risks.

• Understand why many AI projects fail to deliver expected value and how to avoid adoption turning into loss.

• Apply enterprise architecture strategies to embed AI across data, applications, and infrastructure with built-in governance, scalability, and human-centered sustainability.

  This book is for: Enterprise Architects, CTOs, as well as students and professionals eager to explore how AI can be adopted responsibly and sustainably across organizations of every scale.

  Bridges executive vision with disciplined execution, scaling AI that delivers measurable business value Blends global case studies with ethical, sustainable frameworks for enduring enterprise Provides a trusted blueprint to embed AI responsibly and create lasting value, guided by the Human Endpoint Principle

  Autorentext
  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.

  Inhalt

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.