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Towards Observability for ML Pipelines // Shreya Shankar // MLOps Coffee Sessions #75
Jan. 21, 2022, 3 p.m. | Demetrios Brinkmann
MLOps.community mlops.community
MLOps Coffee Sessions #75 with Shreya Shankar, Towards Observability for ML Pipelines.
// Abstract
Software organizations are increasingly incorporating machine learning into their product offerings, driving a need for new data management tools. Many of these tools facilitate the initial development and deployment of ML applications, contributing to a crowded landscape of disconnected solutions targeted at different stages, or components, of the ML lifecycle. A lack of end-to-end ML pipeline visibility makes it hard to address any issues that may …
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