Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
DataRobot excels in feature engineering, automating model building and comparison, reducing timelines from three months to less than one. It simplifies MLOps operations but faces integration challenges with unique industry algorithms and requires improved handling of existing Python or R code. Performance issues and the need for better support for generative AI and large language models are noted. Simplifying proprietary element integration remains essential for enhanced functionality.
