reliable Machine learning models in quickest possible time
December 25, 2021

reliable Machine learning models in quickest possible time

Vinit Mittal | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

DataRobot in my organization is used to automatically hibernate alerts to reduce the investigation load for anti-money laundering activities. First, the DataRobot was fed with training data and once the model was trained, we feed each month's data into DataRobot and based on the model it is able to hibernate up to 25 percent of the alerts resulting in less caseload on the investigators. DataRobot is very convenient to use and even if someone doesn't have any background knowledge about machine learning and zero programming experience can still use and deploy machine learning models with ease.
  • feature engineering
  • convenient to use
  • track the performance of the model on a regular basis
  • ability to tune or define the objective function
  • download results step wise
  • convenient to use
  • the results obtained from DataRobot is implemented and a visible impact is seen
  • leads to lower case load on investigators thereby reduce workforce.
DataRobot is more convenient to use.

Do you think DataRobot delivers good value for the price?

Not sure

Are you happy with DataRobot's feature set?

Yes

Did DataRobot live up to sales and marketing promises?

Yes

Did implementation of DataRobot go as expected?

Yes

Would you buy DataRobot again?

Yes

for scenarios where plenty of data is available and a decision based on data is to be made. DataRobot is less suitable for unsupervised learning and scenarios where enough data is not available.

DataRobot Feature Ratings

Connect to Multiple Data Sources
10
Extend Existing Data Sources
9
Automatic Data Format Detection
10
MDM Integration
10
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
9
Built-in Processors
9
Multiple Model Development Languages and Tools
9
Automated Machine Learning
9
Single platform for multiple model development
9
Self-Service Model Delivery
9
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
9