The 3Ds of Machine Learning Systems Design
Read OriginalThis article discusses the challenges of deploying machine learning in business, distinguishing between 'brownfield' (existing infrastructure) and 'greenfield' (new) innovation. It proposes a 3D design process—Decomposition, Data, and Deployment—to help effectively integrate ML systems and overcome practical hurdles, referencing the Solow productivity paradox in the context of AI.
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