Implementation Challenges
Greg discusses the complexities involved in deploying machine learning models, particularly in high-stakes environments like banking. He highlights a case where a bank uncovered nearly half a billion dollars in new revenue through a novel currency transfer solution, yet faced significant implementation hurdles due to bureaucratic processes. The conversation also touches on the misconception that organizations should have thousands of models in production, emphasizing that finding deployable projects requires careful alignment of various factors.In this clip
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