Incorporating business metrics into model training and fine-tuning bridges the gap between data science teams and stakeholders. This approach ensures machine learning models are both technically robust and strategically significant. By aligning technical outputs with business goals, companies can foster a data-driven culture, making insights actionable and maximizing returns on AI investments.
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