Monitoring for Machine Learning: A New Kind of Software Service
Blog post from DataStax
Elena Samuylova's company, Evidently AI, aims to solve the problem of unreliable data by building tools for analyzing and monitoring machine learning (ML) models. These open-source tools are designed for both experts and casual users. Evidently AI has joined startup accelerator Y Combinator to tackle this design challenge. The company focuses on addressing issues like drift, which refers to the degradation in a model's predictive power. Samuylova expects that in just a few years, dashboards for ML processes will be the standard and hopes that this will change the way ML models are monitored and tested in production.
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