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The Data-Powered AI Paradigm
This chapter explores the critical importance of data quality and quantity in AI development, asserting that effective AI systems hinge on the data fed into them. It also categorizes various data types relevant for AI applications, providing organizations with a framework for evaluating their data's readiness for machine learning projects.