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Enterprise Data Strategy in AI Era

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Manage episode 458310416 series 3629226
内容由Muammar Lone提供。所有播客内容(包括剧集、图形和播客描述)均由 Muammar Lone 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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

  continue reading

12集单集

Artwork
icon分享
 
Manage episode 458310416 series 3629226
内容由Muammar Lone提供。所有播客内容(包括剧集、图形和播客描述)均由 Muammar Lone 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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

  continue reading

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