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DataRobot

DataRobot

Overview

What is DataRobot?

The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that…

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Recent Reviews

DataRobot delivers

8 out of 10
August 17, 2022
Incentivized
DataRobot helps us make sense of a large amount of information. Trying to predict what's going to happen is always difficult, but with …
Continue reading
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 16 features
  • Automated Machine Learning (53)
    9.3
    93%
  • Single platform for multiple model development (50)
    9.0
    90%
  • Automatic Data Format Detection (50)
    8.4
    84%
  • Visualization (50)
    8.0
    80%

Reviewer Pros & Cons

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Pricing

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What is DataRobot?

The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

7.1
Avg 8.5

Data Exploration

Ability to explore data and develop insights

7.9
Avg 8.4

Data Preparation

Ability to prepare data for analysis

7.7
Avg 8.2

Platform Data Modeling

Building predictive data models

8.6
Avg 8.5

Model Deployment

Tools for deploying models into production

8.4
Avg 8.6
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Product Details

What is DataRobot?

The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service.

The solutions include tools providing data preparation enabling users to explore and shape data in preparation for machine learning, automate machine learning, deploy, monitor, manage, and govern all AI models (i.e. MLOps), and the ability to generate time series models that predict the future values of a data series based on its history and trend.

DataRobot AI Platform extends the user's data science expertise with automation and aims to give unlimited flexibility for both data science experts and non-technical users to succeed with AI.

DataRobot Features

Platform Connectivity Features

  • Supported: Connect to Multiple Data Sources
  • Supported: Extend Existing Data Sources
  • Supported: Automatic Data Format Detection
  • Supported: MDM Integration

Data Exploration Features

  • Supported: Visualization
  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Interactive Data Cleaning and Enrichment
  • Supported: Data Transformations
  • Supported: Data Encryption
  • Supported: Built-in Processors

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Automated Machine Learning
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Additional Features

  • Supported: Automated Time Series
  • Supported: Cloud-Hosted Notebooks
  • Supported: Data Preparation
  • Supported: Feature discovery
  • Supported: MLOps
  • Supported: No Code AI App Builder
  • Supported: AI Apps
  • Supported: Decision Flows
  • Supported: Bias Testing and Monitoring
  • Supported: Compliance Documentation and Prediction Explanations
  • Supported: Anomaly Detection
  • Supported: Data Prep Automation
  • Supported: Bringing together any type of data from any source
  • Supported: Demand Forecasting

DataRobot Screenshots

Screenshot of Decision FlowsScreenshot of No Code App BuilderScreenshot of AI AppsScreenshot of Automated Time SeriesScreenshot of MLOpsScreenshot of Model InsightsScreenshot of Visual AIScreenshot of Prediction ExplanationsScreenshot of Bias and FairnessScreenshot of Cloud-Hosted NotebooksScreenshot of Data PreparationScreenshot of Location AI

DataRobot Videos

DataRobot Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish, Spanish, French, Korean, Japanese, Portuguese

Frequently Asked Questions

DataRobot starts at $0.

Dataiku, H2O.ai, and Google Cloud AI are common alternatives for DataRobot.

Reviewers rate Automated Machine Learning highest, with a score of 9.3.

The most common users of DataRobot are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(84)

Attribute Ratings

Reviews

(1-25 of 57)
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December 01, 2023

DataRobot for finance

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use automodelling (typically OTV binary regression), EDA tools and deployments.
  • The interface is excellent - fast enough to use for development, easy to share insights with business users, etc.
  • Automodelling is more than sufficient for our needs, performance and explainability are both great
  • Support is excellent
  • It would be great to have API documentation linked/generated/templated from the UI, for API noobs like me
  • Small things like being able to pre-calculate feature effects for top x / all models when automodelling would be nice
Well suited to regression and forecasting.
December 01, 2023

DataRobot is a great ROI

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use DataRobot to generate Machine Learning models that inform the user experience on our website. The predictions are real-time. I have been most impressed with the simplicity in deploying models.
  • Expert Technical Support
  • Easy Deployment
  • Documentation can sometimes be hard to find.
DataRobot is great for data scientists to allow them to work faster. But the simplicity in creating models could hurt a company if someone doesn't understand the model.
Ross Skelton | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I used Data Robot to design a machine learning algorithm that profiled employee's work environment and absenteeism behaviour (as well as other market factors) to determine if they matched the profile of those employees who had left before us. We were able to use this information to understand the emerging turnover risk of our employees across our various facilities, managers, states and tenures.<br><br>The result allowed us to target our HR initiatives, provide additional training and support to staff and managers, and implement out of the box solutions to newly discovered issues resulting in turnover. It also allowed us to confirm and quantify the impact of different drivers on turnover, which in turn let us prioritise our responses. Finally, we were able to use the models to estimate the impact on turnover and costs a change initiative might cause by looking at the historical impact of initiatives run by our individual sites and/or how difference between a variable had impacted turnover previously.<br><br>Having access to data scientists and project management staff to help design, understand, train and utilize, identify use cases and design the change process was the highlight of their service.
  • Supporting its users to identify and execute on use cases
  • Building internal capability
  • Providing a powerful tool that simplifies the end to end machine learning process.
  • Some of the UI takes some time to get around (look for orange text)
  • The idea of "machine learning" citizen is a bit of a stretch. But they empower your analysts
Data Robot is a powerful tool for greatly reducing the time required to build powerful and accurate machine learning models. It then allows you to utilize these items.

It is probably most appropriate for organisations looking to get into data science and incorporate Machine learning and AI into their decision making. Having dedicated resources that can be upskilled is perfect, as the expertise and software provided allows for a big jump from willing to able.

For the to work effectively, organisations should really consider dedicating at least one resource to the ML and AI projects, and understsand that not every project will yield fruit. A lot of this is innovation and experimentation, so relying on data Robots insights in make or break situations is not recommended. You also need to manage expectations well as the data you have may simply not allow for a powerful model.

Finally, the organisation must be open to change, this has to exist in tandem with the above. If the organisation's key stakeholders don't want to change, all the insights in the world won't help. So a willingness and ability to change effectively is required to maximize ROI.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I use DataRobot for predictive modeling. I use this for forecasting and use its recommendation system. I also use DataRobot for automation, to know relevant parameters from the data, and to improve decision making. DataRobot is very useful, it improves our efficiency and productivity because of its automation process such as data processing and data engineering.
  • Automated featured engineering.
  • Multivariate analysis.
  • Time series forecasting.
  • Data Preprocessing and Cleaning.
  • Support for Unstructured Data.
  • Interpretability and Explainability.
DataRobot is well suited for generating models, such as the Bscore model, which is very important to the banking and financial industry. DataRobot provides insights and recommendations as to what are the relevant parameters for predicting the score of every customer based on their behavior. DataRobot also cut the time on making a model for forecasting. I use DataRobot for forecasting the probability of default using the ODR and linking it with economic indicators.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
As Australia's largest radiology business, we use it as part of our sales and outreach program to identify referring doctors who we need to prioritise contact with for a variety of goals including retention and growth. The models trained and deployed on DataRobot assist with this prioritisation process. The output of the model is effectively a risk or opportunity score on how likely a doctor will either increase or decrease in referrals to our clinics if we do not check in on them.
  • autopilot for testing and ranking the suitability of multiple models
  • easy to upload observations and download the predictions with explanations
  • scalable with multiple workers to speed up the process where urgent
  • more lenience with uploaded observations when the feature tables don't fully match the feature set that the deployed model trained on. Instead of simply erroring out, provide prompts for in-place fixes.
  • null correlation analysis (how often two columns are missing values at the same time) would be very useful to help identify a different type of data relationship.
Most problems I've encountered in my career can be framed as supervised machine learning problems, and adequately solved with a fairly common workflow and popular ML model families such as xgboost and lightgbm. DataRobot is one of the most low barriers to entry but still complete solutions I have encountered. I appreciate the autopilot system and found that it is an excellent starting point for a project and in some instances running it in comprehensive mode is sufficient to arrive a deployment-ready model that can fit into a BAU. Even entry-level data scientists would be able to hit the ground running with DataRobot and produce a lot of value for their organisation. The only aspect that might limit utility is data preparation, especially domain-specific requirements and sensitive data that cannot be uploaded in a raw form to a cloud hosted service outside of Australia due to privacy concerns.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
This is used for building data models for scorecard monitoring in our department, Risk Management.
  • Data Modeling
  • Variable Creation
  • Connectivity with other language such as Python
  • Showing the actual algorithm, example is in Decision Tree
It is best suited to be used by Data Analytics team, especially in data modelling. It saved a lot of time since there were already recommended model to choose from.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I am using datarobot to develop Application and Behavioural Credit Scorecards for the Bank. Develop credit risk models to be used for various business operations (i.e., Products, Credit, and Collections), such as cross-selling, credit limit selling, and collection strategy formulation. Develop credit risk models to elevate lending decision-making and enhance risk management at CIMB PH.
  • Exploratory Data Analysis
  • Shortlisting of Risk Factors
  • Model Building/ Blueprint
  • Show the model performance of train dataset
  • Do not limit up to five features only when downloading predictions
Predictive Modeling. Using Datarobot, I was able to build accurate predictive models quickly. It is also very useful in shortlisting risk factors, it provides Feature associations to include only the most relevant features in final model to reduce complexity and improve interpretability.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Helping business partners optimize their marketing campaigns based on the strategic objectives of the specific campaigns.
  • Quickly provides data assessment
  • Quickly provides models for review
  • Enables informed collaboration
  • Ability to tweak projects without redoing them from scratch.
Well suited for companies with mature data sets to enable quick project creation. The product enables discovery of new features based on the impact to overall model. DataRobot is excellent at reducing time to market for modeling projects.
Suradech Kongkiatpaiboon | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I normally use it for preliminary model checking in order to get an idea to estimate the accuracy or error. This step normally consumes a significant amount of time; nonetheless, it can be determined whether to proceed to the next step of the project or not. My business use cases involve process optimization, anomaly detection, and mainly time series prediction.
  • Model screening
  • Preliminary assessment of general accuracy or error that a typical model can provide
  • Training is superb especially from DataRobot University
  • I found that model deployment is a bit difficult for non-IT background like myself
  • EDA may be improved
  • Should show estimated time to complete for each run
In my opinion, DataRobot is well suited when you have completed preparing the data into a relational format. The model screening and estimated ideas on the ranges of accuracy or errors. For beginners or intermediate users, DataRobot University is also excellent. On the other side, I found it less appropriate for any data cleaning or EDA task.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use it to accelerate the building and deployment of our ML platform in our context to solve problems for financial applications.
  • ML training.
  • ML deployment.
  • Good documentation for implementing a first-API approach.
  • The MLOps platform is not great, especially the charts.
  • The license model presented to us didn't make full sense, you couldn't download any model using only the MLDev license.
  • Include more feature engineering options after uploading the data.
It's very well suited, in my opinion, for small teams or those cases well your models are necessary to support internal business decisions. Probably is not the best tool if the product that you are selling really is an ML model; in that case, you can use it as a baseline, and then you can try to beat Datarobot results.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
The DataRobot has great cloud computing and multitasking power for feeding large quantity of data. There are time series, categorical, and numerical related target variable for analysis. The whole bucket preprocessing sometimes could help you to save a lot of times. However in the real scenario it would still be better to do most of the preprocessing manually to avoid confusion regarding data type. The post parameter tuning could be more intuitive and would be better to make the replication of model result easier.
  • Computing speed
  • Running in batches
  • Shared projects
  • Post parameter tuning
  • Model result replication
The large amount of household specific data with huge feature space is great for DataRobot to run. The result visualization is also easy to follow. However it would be better if there are more NN models could be implemented if possible.
Michael Green | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use DataRobot for a variety of use cases, such as automated quoting, forecasting/inventory management, and automation of machinery settings to improve manufacturing scrap rates.
  • Thorough testing & validation of models.
  • Very fast process from raw data to deployment.
  • Easy to deploy with REST API endpoints.
  • Tons of best practices baked into the platform.
  • Customization of error metrics.
  • More affordable pricing.
  • Better work-life balance for employees.
We have a variety of complex use cases in manufacturing & supply chain which require creative use of Regression and Time Series with highly engineered features. DataRobot has done training & deploying models a breeze! The Retraining functionality for deployed models is also very useful.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
DataRobot builds machine-learning models to predict creditworthiness of bond issuers.
  • Manages messy data.
  • Evaluates numerous models with little user effort
  • Provides reliable repository for data and models.
  • DataRobot is NOT the limiting factor in the improvement of my business process. Getting more and cleaner data is the problem, so, in a sense, DataRobot cannot be improved for my purposes.
DataRobot saves the user an enormous amount of time by automatically implementing best practices related to feature management, partitioning data and evaluating models. DataRobot also provides a "learn on the job" experience in that users with limited knowledge and experience can immediately get useful results and then learn later about the technical details of modeling and handling data.
August 17, 2022

DataRobot delivers

Score 8 out of 10
Vetted Review
Verified User
Incentivized
DataRobot helps us make sense of a large amount of information. Trying to predict what's going to happen is always difficult, but with DataRobot we're able to use the power of robots to do the heavy lifting for us. Let's face it — even if we could do all the complex math on our own, the time it would take would be completely prohibitive. DataRobot takes all that on, letting us get to the decision making instead of setting up models.
  • Time Series
  • Modeling
  • Awesome robot predictions
  • Flexibility of certain models
  • Time series included in general base package
  • Certain data source integration
Time series data. Honestly, there's a lot of information that gets collected over time. Using DR, it becomes easier to track what's going on and get to the point where we're predicting what's going to happen. While DR is great at the big picture stuff, a lot of times (for quick/easy answers), it's better to just do the quick math yourself.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
DataRobot is part of our DataScience LifeCycle supporting our team in every stage of the AML process. For each business area in my company, data robot contribute reducing the time for development and also reducing the learning curve when we hire a new member in our team. In terms of scope, i have used DataRobot only for batch predictions and it works very well.
  • Feature Engineering
  • Model Training
  • Metric Validation
  • Detect Bias
  • Direct Connection to Oracle Database
  • Normalize Data
  • Customer Success
DataRobot is a Powerful tool for teams that are beginning in datascience world where learning curve and speed are critical in order to generate value within any organization.

For those teams who have previous experience in datascience, DataRobot always is a good option but you have to be careful of your volumetrics needs such as number of deployments, number of users, etc.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Predict churn. Identify ideal customers and targeted customers for promotions.
  • Minimizes coding extensively (for the user).
  • Allows high levels of customization.
  • Deployments are well organized.
  • Model training could be faster.
  • Too many limitations, such as making changes to deployments (such as threshold).
Great for straightforward predictive analytic work, such as the quintessential business cases (e.g. churn prediction). Not so good for unsupervised stuff, such as clustering, and it is pretty hard to use to predict recommendations.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I use DataRobot to forecast our sales each month. DataRobot builds models from the data we give it and then gives us a prediction on what sales are going to be like for the next 90 days. I then use that data to determine how many products we need to purchase for a particular item (in our case, medical apparel). The balance we are trying to find is having enough inventory to sell so we are not out of stock on a particular item while not having too much of our capital tied up into inventory that is not selling. One problem with selling medical apparel is sorting thru all the data and figuring out what data is consequential or what is not (for example, the size of a piece of clothing is consequential, like Large will sell more than X-Small, but fabric type may be less consequential). DataRobot allows me to use machine learning technology to go thru many different data points and to see what is consequential and what is not.
  • Provides Charts that show how well their model performs,
  • Is highly customizable when you're building a model.
  • Makes a lot of the decisions for you so you don't have to babysit each step.
  • The platform itself is very complicated. It probably can't function well without being complicated, but there is a big training curve to get over before you can effectively use it. Even I'm not sure if I'm effectively using it now.
  • The suggested model DataRobot deploys often not the best model for our purposes. We've had to do a lot of testing to make sure what model is the best. For regressive models, DataRobot does give you a MASE score but, for some reason, often doesn't suggest the best MASE score model.
  • The software will give you errors if output files are not entered correctly but will not exactly tell you how to fix them. Perhaps that is complicated, but being able to download a template with your data for an output file in the correct format would be nice.
If one takes the time to learn the platform, the platform can be very useful for making predictions. It's not perfect, and you do need your real-world insight to determine if their predictions have the potential to be better than an internal system or a rudimentary system or are wildly off, but for our business, just a slight improvement can mean thousands of dollars in both revenue and thousands of dollars of savings from not purchasing items we may have otherwise purchased.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use the tool for student success. We make various predictive models for predicting the graduation and retention of our students. We use the predictions to identify at-risk students and refer them to advisors or success coaches for help. For example, if students have less than a 60% probability of graduating within four years based on the predictive model, they will get referred to an advisor for further help. During our use of the tool, we have almost doubled our 4-year graduation rate.
  • Process large amounts of data quickly.
  • Provides very accurate predictions.
  • It provides an easy way to compare the predictive value of each of the features of the model.
  • Has a good text analysis tool.
  • Further improvements to their text analysis tool, to be more like the Qualtrics text analysis tool, would be a great addition. Qualtrics has templates built into their text analysis tool for customer service, quality control, etc, and will automatically slot your text responses into categories associated with certain sub areas of those larger categories.
DataRobot is a very robust and easy-to-use tool. It can be used for practically anything. It works best in cases where you have powerful predictors that are not highly correlated with each other, and you are looking to predict a single outcome variable. If you are trying to predict multiple variables at the same time, you will have to create separate models for each one. While it does provide information about the effectiveness of each predictor, it will not give you a detailed analysis of the interactions between your variables. However, it will let you know if some variables are redundant so they can be removed.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We build predictive models with the core supervised learning product. These include attribution models, churn/retention models, segmentation models, and others. Basically, anything that can be accomplished by taking a supervised, labeled set of training data and turning it into a predictive model, we use DataRobot. We have also dabbled with unsupervised learning and time series modeling but have not purchased those packages.
  • Iterative model development
  • Fast training of a very large number of models
  • Easy deployment to their cloud solution, or export as an approximate model
  • Visualization and explanation of important model components
  • We should be able to download data sets from our own projects--after all, we uploaded them originally (and they were not stored locally; they were created specifically for a DataRobot project).
  • The sales team is very aggressive at pushing features that we would never use, such as data hygiene (clunky integration of Paxata), ML Ops (just don't need it), and AI services (we're a mature company; we don't need help coming up with use cases).
  • Pricing changes every year--not just the amount but what you actually get, so we need to nitpick the contract each year because DataRobot has inevitably eliminated something we need.
It's appropriate for speeding up the work of your experienced data scientists. If they spend more than 15% of their time building and tweaking models, DataRobot will cut that down significantly. Caveat emptor: while the DataRobot marketing materials promise to turn any analyst into a data scientist, this is far from the truth. If your potential users do not already understand how machine learning models work, and have not built some models on their own, then they will make mistakes that DataRobot will not correct because it assumes you know what you're doing. Interpreting the results and iterating on models is easy for a trained data scientist but would be baffling for a typical financial analyst.
Javier Mendez | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I use DataRobot to streamline, automate and deploy credit scoring and risk assessment evaluation models for a multinational Fintech with operations across different LATAM markets.
  • Powerful to quickly connect and process data
  • Excellent algorithm generation and model building capabilities
  • Superior performance to deploy live models with API connectivity
  • Enhanced capabilities to connect to SQL servers is desired.
  • Functionalities oriented to suggest feature improvements and amendments when models decay over time.
  • Formatting is an issue. Standardization and user-friendliness are required whenever working with local spreadsheets, CSVs, and other data repositories.
DataRobot is tailored to efficiently automate algorithm generation and model testing based on industry-specific best practices. It is user-friendly, well-designed, and capable enough to develop world-class classification predictive models with a reliable monitoring interface.

It is well suited to carry out forecasts and feed from massive amounts of data to simplify decision-making in a seamless, comprehensive, and applicable manner.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Exploratory data analysis including time series as well as forecasting and building prediction models.
  • Feature engineering
  • Time series
  • Forecasting
  • An on premise solution instead of cloud for use with very sensitive data
  • Integration with MS Azure
  • Classification
Great time saver for quick exploratory analysis or testing ideas and possible solutions. Not so good for working with very sensitive data or when additional data anonymization is required.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
DataRobot is a very useful tool to quickly look for interactions and relations between different features. It serves as a comfortable way to engineer features and rapidly interpret behaviors in between specific attributes.
  • Feature engineering
  • Performance and velocity estimation
  • Overall management of several models at once
  • Integration with external data sources could be easier
From a credit risk perspective, I think DataRobot is very useful to work on scenario assessments. For example, to identify the worst possible scenario in a default assessment.
March 29, 2022

A Good AI Tool

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use DataRobot as scoring to underwrite new policies. It is an additional help to know who will be a good insurer and who will not. You can use DataRobot to predict something that you need. Our business problem is that it is sometimes difficult to know who is going to have a claim and who doesn't.
  • Modeling
  • Easier than others
  • Well explained
  • Courses in Spanish
  • Cheaper
  • Not always intuitive
It is well-suited when you can finally be able to work "easily" when you know how it works. It is not suited when you start to use the tool you need to contract a consultancy, but you have to know how to use it. Also, they have courses you can use, but you have to dedicate the time to study and learn.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use DataRobot to build data products such as predictive models that are helping the business to move the needle. We use them mainly to adapt consumer experience now that PMI has become a consumer-facing company (it was not the case before IQOS) This year we are starting a new way of engaging with the business to make them part of the full process.
  • Customer support
  • Customer scaling up
  • Give visibility on what other customers are doing in other industries
Datarobot is a super powerful and useful tool for all data science teams, especially for those teams which are not specialized but where all team members take care of data products from A to Z ( from data foundation to prescriptive analytics) as the tool is democratizing AI. It is very useful as well to gain time, you do not need to spend hours and hours coding as the platform does it for you already. During the training they are providing, you can experience on your own, that regardless of all the manipulation you can do to the models on your own, you will never beat the machine
Score 10 out of 10
Vetted Review
Verified User
Incentivized
DataRobot is our data science platform for building ML models and a Dev Ops environment for running models. But we also use the best practice processes and governance that DataRobot gives us. We are interested in providing the commercial value that DataRobot enables.
  • Data Science ops
  • Support
  • Auto ML
  • yet to find a good example
speed in which you can get model to market ability to mange manage in production
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