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What is DataRobot AI Platform?
The DataRobot Enterprise AI platform includes two independent but fully integrable machine learning model building products, and each can be deployed in multiple ways to match your business needs and IT requirements. All configurations feature a constantly expanding set of diverse, best-in-class algorithms from R, Python, H2O, Spark, and other sources, giving you the best set of tools for your machine learning and AI projects.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
87 Likeliness to Recommend
1
Since last award
93 Plan to Renew
76 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+87 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love DataRobot AI Platform?
Pros
- Helps Innovate
- Respectful
- Security Protects
- Reliable
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Algorithm Recommendation
Model Training
Ensembling
Openness and Flexibility
Algorithm Diversity
Model Tuning
Explainability
Pre-Packaged AI/ML Services
Performance and Scalability
Feature Engineering
Data Labeling
Vendor Capability Ratings
Business Value Created
Quality of Features
Ease of IT Administration
Ease of Implementation
Usability and Intuitiveness
Breadth of Features
Availability and Quality of Training
Ease of Data Integration
Vendor Support
Product Strategy and Rate of Improvement
Ease of Customization
DataRobot AI Platform Screenshots
DataRobot AI Platform Downloads
DataRobot AI Platform Videos
Democratised Data Science at OYAK Cement - The Impact of Sustainable AI solutions in Manufacturing
Empowering Kroger/84.51's Data Scientists with DataRobot
Harmoney + Snowflake + DataRobot
End-to-end Generative AI Applications with DataRobot | Develop, Deploy, Monitor and Maintain
DataRobot AI Platform Demo 2023 | End-to-end Workflow | How DataRobot Works
DataRobot AI Platform | Welcome to the Era of Value-Driven AI
DataRobot AI Platform | High-level Overview from our Chief Product Officer
Get Started
Notebook Experience
Bias and Fairness
Geospatial Visualization
Text Visualization
Deployments
Prediction Explanation
Decision Flow
App Builder
DataRobot AI Platform Reviews
- Role: C-Level
- Industry: Finance
- Involvement: End User of Application
Submitted Nov 2022
Powerful tool
Likeliness to Recommend
Pros
- Continually Improving Product
- Respectful
- Helps Innovate
- Reliable
João H.
- Role: Information Technology
- Industry: Banking
- Involvement: Business Leader or Manager
Submitted Nov 2022
Accelerate model development and reduces legacy
Likeliness to Recommend
What differentiates DataRobot AI Platform from other similar products?
Using AutoML is really impressive for accelerating model development.
What is your favorite aspect of this product?
The fact that we can develop a model in minutes.
What do you dislike most about this product?
The monitoring functionalities have room for enhancement, and this impacts the cost-benefit taken from MLOps.
What recommendations would you give to someone considering this product?
Excellent for classical use cases in banking, regarding lending, collections, propensity, churn.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Efficient Service
- Role: Operations
- Industry: Construction
- Involvement: Business Leader or Manager
Submitted Oct 2022
User friendly and enables sustainable results
Likeliness to Recommend
Pros
- Continually Improving Product
- Reliable
- Enables Productivity
- Trustworthy
Cons
- Less Effective Service
- Wastes Time
