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This book serves as a comprehensive guide to designing and implementing strategies and governance frameworks for data, artificial intelligence (AI), and data and AI risk management. It addresses the primary challenges organizations encounter in integrating or harmonizing these frameworks while adapting them to their specific needs, resources, and regulatory environments.
Featuring clear methodologies, proven industry practices, and a structured approach, it equips readers with the necessary tools to develop scalable and adaptable governance frameworks.
Executives, data professionals, and project managers will find valuable insights into creating effective frameworks, managing risks, and enhancing data and AI management capabilities.
The book includes templates and case studies for each step and provides practical examples throughout the chapters. It simplifies complex concepts, empowering readers to navigate the evolving landscape of data and AI governance with confidence.
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