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As soon as a machine studying mannequin is educated and validated, it usually looks like a significant milestone has been achieved. In actuality, it’s extra like the primary lap in a relay race. Deploying ML to manufacturing bears many similarities to a typical software program launch course of, however brings a number of novel challenges like failing to generalize as anticipated or mannequin drift.
AI High quality administration is the largest problem in AI immediately. On this episode, I interview Anupam Datta, the co-founder at TruEra. TruEra has an answer aimed toward serving to with AI efficiency, monitoring, and mannequin explainability. We speak about a number of the challenges of recent machine studying deployment in manufacturing and the way corporations are succeeding with ML Ops.
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Transcript
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