Centralized Risk Management for Multi-Jurisdiction Gaming Odds
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Solution Overview
Problem
Current gaming systems face challenges in dynamically adjusting odds and managing risk across multiple locations and jurisdictions, particularly in real-time, due to limitations in data processing and market competition, leading to suboptimal betting experiences and revenue management.
Innovation Solution
A system that automatically receives and processes real-time game data to calculate odds and manage risk, allowing for in-game betting on various events, with features like automated settlement of bets, risk consolidation, and offsetting across multiple locations, using a centralized risk management module to optimize odds and risk exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data processing is implemented across multiple gaming locations, then odds calculation accuracy and risk management are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent combines multiple gaming location data streams into a centralized risk management system that consolidates odds calculation and risk assessment functions. This merging allows accurate real-time odds computation across locations while managing system complexity through unified processing architecture.
Solution Approach 2:
The risk management system performs multiple functions including real-time odds calculation, risk assessment, data consolidation from multiple jurisdictions, and automated betting settlement. This multi-functionality improves measurement precision while avoiding the need for separate specialized systems that would increase overall complexity.
2Productivity
If automated risk management across multiple jurisdictions is implemented, then revenue optimization and risk control are improved, but regulatory compliance complexity increases
Solution Approach 1:
The system segments regulatory compliance requirements by jurisdiction while maintaining a unified risk management framework. Each location's specific regulatory constraints are handled as separate modules within the overall system, allowing revenue optimization through coordinated risk management while managing compliance complexity through structured segmentation.
Solution Approach 2:
The system dynamically adjusts operational parameters such as odds, betting limits, and risk thresholds based on jurisdiction-specific regulatory requirements. This allows the system to optimize revenue across multiple locations while automatically adapting to different regulatory environments without requiring completely separate compliance systems.
3Adaptability or versatility
If in-game betting opportunities are provided in real-time, then user experience and engagement are improved, but data processing speed and system response time requirements increase
Solution Approach 1:
The system pre-calculates odds and prepares betting opportunities based on real-time game state data before users place bets. This preliminary action allows the system to provide enhanced user experience with multiple betting options while managing processing speed requirements by having calculations ready in advance rather than computing them after bet placement.
Solution Approach 2:
The risk management system continuously processes game data streams and maintains real-time odds calculations without interruption. This continuous processing enables seamless in-game betting opportunities that improve user experience while optimizing data processing efficiency through sustained computational operations rather than batch processing.
Data Source
AI summary
Various methods and apparatus related to gaming are described. Some embodiments relate to managing risk. Risk may be managed across different jurisdictions and among a plurality of wagering venues. Other embodiments are described.