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The article discusses the implementation of AI in business workflows and its transformative impact on productivity, customer experience, decision-making, and cost-effectiveness. It explores the fundamental building blocks of AI automation, including data collection and preparation, algorithm selection, training and validation, and evaluation and testing. The quality and diversity of AI training data is crucial for the effectiveness and fairness of machine learning models.
