Description
SALIENT FEATURES OF THE BOOK:
- Holistic Enterprise-Wide Framework
Presents a comprehensive view of digital transformation by integrating strategy, technology, operations, people, and governance into a unified approach. - AI-Driven Business Transformation
Explains how Machine Learning, Generative AI, and Agentic AI can be embedded across functions such as marketing, finance, HR, and operations to drive tangible outcomes. - From Foundations to Execution Roadmaps
Guides readers step-by-step from core concepts to real-world execution, including practical frameworks for designing and scaling transformation initiatives. - Business Value and Outcome Focused
Emphasizes measurable impact by linking digital initiatives to performance improvements, innovation, customer engagement, and revenue growth. - Comprehensive Coverage of Modern Digital Technologies
Covers cloud computing, edge, IoT, data platforms, automation (RPA), and digital ecosystems, ensuring relevance in today’s technology landscape. - Advanced Insights into Generative and Agentic AI
Provides in-depth understanding of LLMs, AI copilots, and autonomous agents, along with their enterprise use cases, risks, and governance. - Data, Analytics, and Decision Intelligence Focus
Equips readers to build data-driven organizations through analytics maturity models, dashboards, and AI-powered decision systems. - End-to-End Process and Customer Experience Transformation
Addresses process redesign, intelligent operations, supply chains, and AI-driven customer experience and marketing strategies. - Risk, Governance, and Responsible AI Integration
Covers cybersecurity, privacy, regulatory frameworks, and ethical AI principles, ensuring secure and compliant transformation journeys. - Practice-Oriented, Pedagogically Rich, and Industry-Relevant
Includes case studies, managerial insights, sectoral playbooks, and review questions, making it ideal for students, executives, and practitioners alike.





