Experts share essential rules for AI architecture, emphasizing the significance of incremental AI implementation, flexibility, and robust governance. Architects should avoid rigid requirements, ensure data integrity, design modular systems, and prioritize reliability through continuous monitoring. These principles facilitate the successful integration of AI while minimizing future technical debt and risks.

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