Remove 2021 Remove Data Drift Remove Metadata
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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

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. It will let you independently control the scale. Learn More About DataRobot MLOps.

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How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

It was launched in June 2021 and has been ranked within the top three in revenue in Korea. Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability. ML engineers no longer need to manage this training metadata separately.