We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features.
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.
