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Data Transformation

This outlines the AI Project Manager's essential role in overseeing the data transformation lifecycle, which is a fundamental stage in building reliable artificial intelligence. It emphasizes the manager's duty to establish standardized workflows for cleaning information, protecting personal privacy, and engineering features that align with specific business goals. A significant portion of the material focuses on maintaining rigorous documentation and version control to ensure that all data processing steps are entirely reproducible and auditable. Furthermore, the manager must supervise technical methods like data normalization and the creation of synthetic datasets to prevent bias and improve model robustness. Ultimately, the source defines these responsibilities as a blend of technical coordination, ethical governance, and quality assurance to ensure data integrity.