Intent: Defines the architectural foundations for data and model interoperability, quality, and reuse. Description: This capability establishes enterprise data and model architecture standards that support scalable AI. It ensures that data assets, feature stores, models, and metadata are governed, interoperable, and aligned with enterprise information architecture. Typical Scope: • Data architecture standards for AI • Model taxonomy and metadata management • Feature engineering patterns • Integration with enterprise data platforms