機器學習總監的實戰洞察 [第四部分]：衡量業務價值、控制成本與 Build vs Buy 的抉擇
Original: Director of Machine Learning Insights [Part 4]
This article is the fourth installment in Hugging Face's series of interviews and observations targeting enterprise Directors of ML…
本篇為 Hugging Face 探討機器學習團隊管理的系列文章第四部分。內容聚焦於 ML 總監在實際營運中面臨的三大核心挑戰：如何將技術指標轉化為業務 ROI、如何在高昂的 GPU 成本下進行預算與推論優化，以及在建構 MLOps 工具鏈時，如何權衡「自主研發（Build）」與「採購現成服務（Buy）」。這為正在規模化 ML 團隊的管理者提供了極具價值的實務指南。
This article is the fourth installment in Hugging Face's series of interviews and observations targeting enterprise Directors of ML, offering an in-depth exploration of the business and architectural decisions that ML teams must confront as they move toward maturity.
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