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Enterprise Data Strategy in AI Era
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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.
### Why This Book Now
The rapid advancement of artificial intelligence, particularly generative AI, has fundamentally altered how organizations approach data strategy. Traditional frameworks, while valuable, no longer suffice in an era where:
- AI systems can generate, analyze, and interpret data at unprecedented scales
- Privacy and ethical considerations have become central to data strategy
- Industry boundaries are blurring through digital transformation
- Regulatory landscapes are continuously evolving
### 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
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