Data Strategy in the Age of AI: A Comprehensive Guide for the Modern Enterprise: QUALITY, GOVERNANCE, AI ETHICS, MASTER DATA MANAGEMENT

Copyright © 2025 by Muammar Lone All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical reviews and certain other noncommercial uses permitted by copyright law.

First Edition: Spring 2025
The convergence of artificial intelligence and enterprise data strategy marks a pivotal moment in business history. Organizations today face unprecedented opportunities and challenges in harnessing the power of data, while navigating complex technical, ethical, and regulatory landscapes.

This book emerges from a decade of research, practical experience, and collaboration with leading institutions and enterprises worldwide. It represents not just a theoretical framework, but a practical guide born from real-world implementations across diverse industries.

### How This Book Is Different

This work distinguishes itself through:

1. **Integration of Theory and Practice**: Combining academic research with real-world implementation
2. **Industry-Specific Frameworks**: Tailored approaches for different sectors
3. **AI-First Perspective**: Built for the age of artificial intelligence
4. **Implementation Focus**: Practical tools and frameworks for immediate application

### How to Use This Book

This book serves multiple audiences:

- **Executives and Leaders**: Focus on strategic frameworks and case studies
- **Practitioners**: Detailed implementation guides and technical specifications
- **Academics**: Research foundations and theoretical frameworks
- **Students**: Comprehensive introduction to modern data strategy