Monday, March 17, 2025
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MLOps Methods at Scale with Krishna Gade

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 Though we like to consider ML workflows as straight-line narratives from experiment to coaching to manufacturing, after which lastly monitoring; the fact for giant firms is that every one the steps are occurring at one time in live performance with different fashions, with shifting knowledge, and, generally, misaligned key characteristic inputs.

Furthermore, regulated corporations are required to trace all of the fashions, the modifications, and the impacts of these modifications for compliance. Enter explainability supported by mannequin monitoring. Removed from the outdated, single activity means of solely monitoring modifications and anomalies, immediately’s ML monitoring does far more. It makes use of AI to ship full featured efficiency administration that may establish modifications, alert the appropriate individuals, and pop fashions again into manufacturing in actual time with correct governance.

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

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