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The Data Dilemma in AI
This chapter explores the fundamental relationship between the quality of data and the effectiveness of AI models, contrasting hype with a grounded understanding of machine learning. The speakers discuss various types of data, the importance of labeling for supervised learning, and the initial considerations organizations must make when starting AI projects.