#62 From Predictions to Decisions
DataFramed
00:00
Navigating AI Project Success
This chapter explores key elements of scoping AI projects, emphasizing alignment with business goals and integration into existing processes. It addresses the challenges of concept drift in machine learning, discussing validation methods and the need for ongoing monitoring to ensure model accuracy. Additionally, the chapter highlights the importance of empathy in the role of data scientists, advocating for a balance between technical innovation and practical, user-focused solutions.
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