Category
Industry
One Platform from Data to Value
The DataRobot enterprise AI platform accelerates and democratizes data science by automating the end-to-end journey from data to value. This allows you to deploy trusted AI applications at scale within your organization. DataRobot provides a centrally governed platform that gives you the power of AI to drive better business outcomes and is available on your cloud platform-of-choice, on-premise, or as a fully-managed service.
All User Types
Persona-centric user experiences tailored for AI creators, operators, and consumers.
End-to-End Acceleration
Automated data science best practices to prepare, build, deploy, and maintain AI-driven applications at enterprise scale.
Governed and Trusted
Centrally managed, human-centric AI that consistently shares your unique values and ethics.
AI You Own
A portable system that runs on your platform-of-choice, so you can keep your IP and avoid vendor lock-in.
No Coding
Its a industrial no code tool empowering business to create intelligence in less time and quickly
- Visual AI
- Trusted AI
- Feature Discovery
- Model Grader
- DEPLOYMENT OPTIONS
- Managed AI Cloud
- Private AI Cloud
- Hybrid AI Cloud
- On-Premise AI Cluster
Data Preparation and Exploration
Intuitive self-service data preparation to interactively explore, combine, and shape diverse datasets into assets ready for machine learning models and AI applications at enterprise scale.
Automated Model Creation and Explainable AI
Accelerate the creation, testing, and tuning of advanced regression, classification, time series, and deep learning models that incorporate our world-class data science expertise.
Machine Learning Operations
One place to deploy, maintain, and govern all your production models, regardless of how they were created and where they are deployed.
Business Apps and Use Case Tracking
Automated AI applications for business users to consume predictions, optimize outcomes, and support critical decisions.
Use cases in all industries
Google AdWords Bidding
Determine the optimal price to bid on each Google AdWord to achieve your target ROI.
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Product Personalization
Target and personalize content and product recommendations, resulting in increased customer engagement, brand value, and sales.
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Finding Duplicate Customer Records in Your Database
Make sure your database adheres to best practices.
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Loyalty Program Usage
Personalize redemption recommendations in loyalty schemes, resulting in increased consumer usage and engagement.
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Next Best Offer
Recommend the right product to the right person at the right time.
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Multichannel Marketing Attribution
Accurately determine which of your marketing activities are having the biggest effect on sales.
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Customer Churn
Understand the factors that lead to customer churn and predict which customers are likely to defect so you can take preventative action.
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Next Best Action
Understand which marketing activities are most likely to move each individual customer closer to purchase.
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Blockchain
As a relatively new financial system, blockchain is particularly vulnerable to security threats. Build and deploy machine learning algorithms that can detect anomalous behavior anywhere along the chain.
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Digital Wealth Management
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Counterterrorism
Predicting and preventing terrorist attacks is a chief concern for intelligence and agencies, and predictive modeling based on historical data may help prevent them in the future.
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Fraud detection
Almost every government agency serving the nation's citizens suffers from fraud, costing approximately $80 billion a year. Data analysis and predictive modeling can combat this issue in minutes, not months.
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Insider threat
Threats can come from all sides, not just externally but from inside government agencies as well. These agencies need to proactively block any potential misuse, using machine learning to identify exploitation of inside information.
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Cybersecurity
Cybersecurity is emerging as one of the greatest threats of the future, and federal agencies are particularly vulnerable. Build, deploy and refresh models to predict incoming threats in real-time.
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Drug Delivery Optimization
To increase product adoption, pharmaceutical firms ship millions of drug samples to doctors and hospitals. The orders can be consolidated when the same location requests two or more drug samples. DataRobot can predict which drug samples should wait for consolidation, reducing the overall cost of delivery.
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Life Insurance Underwriting for Impaired Life Customers
Typically, unless a reinsurance company covers the risk, direct insurance companies do not underwrite life insurance for individuals who have suffered a serious disease and are in a situation of “impaired life." A reinsurance company wants to predict which customers have positive health prospects and are insurable.
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Disease Propensity
Outreach to patients without analytics is like trying to tie your shoes in the dark. Unfortunately, waiting until they seek care results in higher costs, and potentially poorer outcomes, for everyone.
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Modeling ICU Occupancy
Forecasting ICU occupancy means being prepared for incoming patients and not staffing empty beds.
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Estimating Sepsis Risk
Sepsis is a serious condition that often occurs suddenly and with life-threatening impact. Identifying patients most at risk for developing sepsis may mean the difference between life and death.
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Hospital Readmission Risk
Proactively identifying hospital readmittance means increasing quality of care, decreasing costs, and improving the lives of patients.
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Finding New Oil and Gas Sources
In the Oil and Gas Industry, upstream companies continually search for potential new oil and gas fields, both underground and underwater. Drilling exploratory wells is a significant investment, and you must be able to predict which locations will produce the most profit at the lowest cost.
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Insurance Pricing
To be profitable in the insurance industry, you must avoid being adversely selected against. To avoid this and maintain your underwriting margins requires highly accurate predictive models.
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Credit Card Fraudulent Transactions
The cost of credit card fraud is billions of dollars per year. By accurately predicting which transactions are likely fraudulent, banks can significantly reduce these illegal transactions while providing card holders an excellent customer experience.
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Fraudulent Claim Modeling
The cost of fraudulent insurance claims is in the billions. Accurately predicting claims legitimacy significantly reduces fraudulent payouts and leaves the insured with a positive customer experience.
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Direct Marketing
To maximize ROI, it's important to boost marketing response rates and minimize misdirected communication. The most up-to-date modeling algorithms return the best results, but the data science expertise required to implement them can be daunting.
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Credit Default Rates
Individuals or businesses often need loans. Making accurate judgments on the likelihood of default is the difference between a successful and unsuccessful loan portfolio.
https://www.datarobot.com/use-cases/credit-default-rates/
Conversion Modeling
The ability to predict which segments are most likely to convert from a quote to a policy allows insurance companies to optimize their pricing algorithm and their marketing spending, leading to data-driven objective business decisions.
https://www.datarobot.com/use-cases/conversion-modeling/
Claim Development Modeling
Out with the old, in with the new....newer machine learning algorithms are allowing insurance companies to build more robust mechanisms for predicting, once a claim occurs, how much it will ultimately cost.
https://www.datarobot.com/use-cases/claim-payment-automation-modeling/
https://www.datarobot.com/platform/getting-started-with-datarobot/buying-faq/