A large retail company is running multiple machine aws video
ai-practitioner video for a large retail company is running multiple machine learning projects across different business units, such as demand forecasting,
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A large retail company is running multiple machine learning projects across different business units, such as demand forecasting, inventory optimization, and customer segmentation. To ensure oversight and streamline model governance, the company needs a centralized interface where stakeholders can monitor deployed models, view lineage, track performance, and manage versions across teams. Which Amazon SageMaker feature best supports centralized visibility and lifecycle management of machine learning models in this scenario?