- B
- Blockchain
- C
- Customer Churn
- Counterterrorism
- Cybersecurity in the Public Sector
- Credit Card Fraudulent Transactions
- Credit Default Rates
- Conversion Modeling
- Claim Payment Automation Modeling
- Claim Development Modeling
- D
- Drug Delivery Optimization
- Disease Propensity
- Digital Wealth Management
- Direct Marketing
- E
- Estimating Sepsis Risk
- F
- Finding Duplicate Customer Records in Your Database
- Fraud detection
- Finding New Oil and Gas Sources
- Fraudulent Claim Modeling
- G
- Google AdWords Bidding
- H
- Hospital Readmission Risk
- I
- Inventory Forecasting
- Insider Threat in Public Sector
- Insurance Pricing
- L
- Loyalty Program Usage
- Life Insurance Underwriting
- M
- Multichannel Marketing Attribution
- Modeling ICU Occupancy
- N
- Next Best Offer
- Next Best Action
- P
- Product Personalization
- Q
- Quality Assurance
- S
- Supply Chain Management
- View global site search results

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.
Problem/Pain
Crypto-currency and distributed ledger technology are among the most exciting developments in fintech. The ability to record transactions in a transparent manner without an intermediary has revolutionary applications for the financial ecosystem. But maintaining security and trust in the system is paramount.
Solution
DataRobot’s automated machine learning platform is well-suited to identify and help prevent identity theft, fraud, and illicit transactions in the blockchain, by developing and deploying algorithms that can detect anomalous behavior anywhere along the chain.
Why DataRobot
Click a button and build accurate models to predict potential intrusions across multiple vulnerability vectors at rapid speed. DataRobot uses a variety of data sources and runs multiple algorithms that allows for actionable activity against potential security threats before they happen.