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AI-Driven Risk Detection for Problem Gambling in Betting Platforms

ININDUSTRY: REGULATED GAMBLING / COMPLIANCE

Multiple betting platforms needed to identify problem gambling behavior as part of regulatory compliance. Their existing models were inconsistent and inaccurate, leaving them exposed to legal and ethical risks.

Challenges and Analysis

The company faced a number of interconnected challenges:

  • Low-accuracy rule-based detection models


  • Inconsistent risk evaluation between platforms


  • Regulatory pressure for standardization

Solution and Implementation

  • Designed AI model using cluster analysis of daily betting behavior


  • Identified risk patterns across user days, not just user profiles


  • Unified framework deployable across multiple companies

Results

The transformation had a significant impact:

  • Risk detection accuracy improved to 80%+


  • Helped meet EU-level responsible gaming compliance


  • Enabled proactive, data-backed interventions

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