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 excels in feature engineering and simplifies MLOps operations, automating tasks like model comparison to boost productivity. It enables rapid completion of tasks, transforming days of work into hours. While highly automated, the integration of existing Python or R code can enhance functionality. Users appreciate specific algorithms for niche applications, though there are calls for more integration with proprietary tools. Concerns exist about transparency and support for emerging AI technologies like large language models.
