MLOps Techniques at Scale with Krishna Gade

January 11, 2023

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Though we like to consider ML workflows as straight line narratives from experiment to coaching to manufacturing, after which monitoring, the truth for giant firms is that each one the steps are taking place at one time in live performance with different fashions, with shifting information and typically misaligned key characteristic inputs.

Furthermore regulated companies are required to trace all of the fashions, the adjustments, and the impacts of these adjustments For compliance. Enter explainability supported by mannequin monitoring, removed from sleepy monitoring of adjustments and anomalies. At the moment’s ML monitoring and efficiency administration requires the power to establish adjustments and alert the appropriate individuals, the power to help in diagnosing points, to create what if eventualities, and the power to pop fashions again into manufacturing in actual time with correct governance.

FiddlerAI is a startup centered on enterprise mannequin efficiency administration. They’re tackling the distinctive challenges of constructing in-house secure and safe MLOps techniques at scale. At the moment we’re interviewing Krishna Gade about trusting AI, the technical challenges of ML monitoring and the actual world downside statements past compliance that explainability can tackle.

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