Examples of using Fraud detection in English and their translations into German
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Colloquial
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Official
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Ecclesiastic
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Medicine
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Financial
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Ecclesiastic
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Political
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Computer
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Programming
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Official/political
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Political
Fraud detection. The financial services industry uses artificial intelligence in two ways.
Telecom threat/fraud detection: predict,
Improved fraud detection for all lines of business using analysis tools and analytical methods.
problems with our solutions for deep learning, like HPE-Kinetica fraud detection.
This includes exchanging information with entities for fraud detection and protection, and credit risk reduction.
Big data analysis, for example, can improve the assessment of risks and fraud detection.
customer-oriented personalization and effective fraud detection for retail.
The use of such fraud management systems has been proven to increase fraud detection and reduce manual effort.
business rules tailored to compliance checking and fraud detection.
 A good balance between fraud detection and customer experience to catch all transactions.
Our fraud detection software can be integrated with minimal effort
A synthetic financial dataset for fraud detection is openly accessible via Kaggle.
Artificial intelligence for fraud detection.
Number Verification allows you to clean up your databases and help fraud detection.
Synthetic financial dataset for fraud detection.
Borrower identification and fraud detection.
Every ledger is a fraud detection system for the diamond trading industry.
This includes fraud detection and our Anti-Money Laundering programme.
We also use essential cookies for fraud detection and prevention purposes.