Architecting Enterprise AI Strategies : From Vision to Scalable Execution / by Rajnish Harjika.

Format:

Book

Author/Creator:

Harjika, Rajnish.

Series:

Business and Management Series

Language:

English

Subjects (All):

Business--Data processing.

Business.

Business--Technological innovations.

Sustainable development--Data processing.

Sustainable development.

Management--Data processing.

Management.

Physical Description:

1 online resource (311 pages)

Edition:

1st ed. 2026.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2026.

Summary:

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 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. .

Contents:

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.

Notes:

Description based upon print version of record.

Description based on publisher supplied metadata and other sources.

ISBN:

979-88-6882-219-3

OCLC:

1572097333