2021 Data Drift DevOps 
Towards AI
AUGUST 16, 2023
MLOps is the intersection of Machine Learning, DevOps, and Data Engineering. Monitoring Models in Production There are several types of problems that Machine Learning applications can encounter over time [4]: Data drift: sudden changes in the features values or changes in data distribution. 15, 2022. [4]
DataRobot Blog
SEPTEMBER 1, 2022
DataRobot Data Drift and Accuracy Monitoring detects when reality differs from the situation when the training dataset was created and the model trained. Meanwhile, DataRobot can continuously train Challenger models based on more up-to-date data. 1 IDC, MLOps – Where ML Meets DevOps, doc #US48544922, March 2022.
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