- 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

Counterterrorism
Problem: Counterterrorism – Finding the Needle in the Haystack
Today’s society produces enormous amounts of data that facilitates commerce and streamlines our way of life. This data also makes it difficult to identify adversaries who hide among the trove of data. The threats are real. The danger is real. Finding the adversary is like finding the proverbial needle in the haystack. It’s a significant challenge to manage, mine, and identify legitimate threats in the data.
Isolating, identifying, and preventing terrorism requires access to accurate data. Using AI to apply models based on historical data on terror attacks may help prevent them in the future. AI counterterrorism also saves intelligence and law enforcement time and money, while providing decision advantage in their effort to protect society.
DataRobot understands the data challenges that intelligence agencies face. We help teams seamlessly integrate AI to identify real threats quickly.
Solution: Using AI to Keep Up with Counterterrorism Threat Analysis
Information is everywhere today. Agencies are overwhelmed with information that is not always accurate or actionable. Analysts are spending the majority of their time sifting and sorting through information to create actionable intelligence to combat terrorism. Time is of the essence. Speed is critical and can save lives. Through the power of AI, you can rapidly develop and deploy models for analysts to enhance their insight into threats. When agencies embrace and integrate AI into their business process, they can improve productivity and provide decision advantage against today’s threats.
Why DataRobot? Finding Patterns in the Data
DataRobot facilitates the deployment of models to allow you to scour data, identify patterns, and separate false alarms from real threats. DataRobot’s automated machine learning can help analysts find patterns across fields that weren’t previously evaluated or reduce time in current analysis.
Now more than ever, it is critical that your agency adopt, embrace, and master counterterrorism AI technology. DataRobot can help your teams improve speed and accuracy to provide decision advantage.