Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
DataRobot dramatically enhances MLOps by simplifying job management and monitoring model drift logs, while its high automation level aids data scientists in building models efficiently. Feature engineering ensures optimal feature selection, and automation reduces task time from days to hours. Although some performance issues and lack of transparency exist, potential improvements include better price points and integrating existing Python or R code. There's an interest in DataRobot's role in generative AI and large language models.
