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Artificial Intelligence is transforming every industry-but why do so many Enterprise AI initiatives fail?
The answer is surprisingly simple.
Most organizations attempt to implement Artificial Intelligence before establishing the business architecture, governance, trusted data, semantic intelligence, and enterprise operating model required to support it.
Building the Intelligent Enterprise introduces Enterprise Intelligence Architecture (EIA)-a new business-first architectural framework designed to help organizations build AI-ready enterprises through integrated business strategy, enterprise architecture, trusted data, governance, semantic intelligence, and intelligent decision-making.
Rather than viewing AI as an isolated technology initiative, this book presents Enterprise Intelligence as an enterprise capability that connects business vision with data, architecture, governance, and artificial intelligence into a unified operating model.
Using practical architecture models, governance frameworks, implementation roadmaps, capability maturity models, enterprise architecture patterns, and Microsoft Fabric reference implementations, the book provides a comprehensive guide for designing intelligent enterprises capable of delivering trusted, explainable, and scalable AI at enterprise scale.
Inside this book you'll learn how to:
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