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Wenjie Zi on Technology and Organizational Aspects for ML Project Success

The InfoQ Podcast

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Navigating Machine Learning Pitfalls

This chapter explores the challenges and common pitfalls faced in machine learning projects, contrasting typical success narratives. It highlights critical issues such as data quality, misaligned metrics, and organizational communication barriers that can lead to project failures. The speaker emphasizes the need for realistic expectations and the importance of early model feedback to successfully navigate the complexities of AI adoption.

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