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AI Model Techniques

This outlines the oversight responsibilities of an AI Project Manager, emphasizing their role in validating technical decisions rather than performing the engineering themselves. A primary focus is placed on aligning algorithm selection with specific business needs, data availability, and regulatory constraints. The manager must facilitate a transparent evaluation of trade-offs, balancing factors like model complexity against the necessity for interpretability and cost-efficiency. Additionally, the material highlights the importance of comprehensive documentation to ensure that architecture choices are auditable and traceable. Ultimately, the source defines the manager's success through effective governance and risk mitigation throughout the model development lifecycle.