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Industry Challenges
The iGaming industry faces challenges with creating unique and engaging gaming experiences on large amounts of data, simultaneously working towards preventing fraudulent behaviour and match-fixing.
- Real-Time Data Processing: AI models must analyze and respond to high-frequency, real-time events during matches or bets, demanding low latency and high performance.
- Data Volume and Scalability: Handling massive volumes of player statistics, gameplay data, and betting transactions at scale is complex and resource-intensive.
- Fraud Detection and Fairness: Preventing cheating, match-fixing, or betting fraud requires advanced anomaly detection models.
- Player Personalization: Providing tailored recommendations for viewers or bettors based on behavior and preferences is challenging due to data diversity.
- Regulatory Compliance: Ensuring data privacy and meeting region-specific legal requirements, such as GDPR or gambling regulations.
How Hopsworks solves these challenges
Real-Time Data Processing & Scalability
Hopsworks AI Lakehouse has built-in real-time feature engineering. iGaming platforms can handle real-time data streams for live user interaction and dynamic betting prices.
Fraud and Anomaly Detection
Hopsworks helps iGaming platforms build advanced fraud detection models that can learn and improve over time to detect suspicious activities.
Personalization at Scale
With its centralized Feature Store, Hopsworks allows teams to reuse and share high-quality, versioned features across models, enabling AI systems for personalized game recommendations and predictions.
MLOps for Model Operationalization
Hopsworks has end-to-end MLOps: model versioning, deployment pipelines and monitoring to move models from experimentation to production and keep them performing and up-to-date.
Use Cases
Real-Time Odds Calculation
Use real-time feature engineering to update odds in real-time during live events.
Responsible Betting Monitoring
Build AI models to detect risk behavior in betting and ensure responsible gambling compliance.
Fraud Detection
Deploy machine learning models to detect suspicious betting patterns and prevent fraud.
Why Hopsworks for iGaming?
- Accurate Predictions: Hopsworks gives you high speed and accurate predictions with fresh and reusable features.
- Real-Time AI: Hopsworks has real-time feature engineering and model serving for updating live odds.
- AI Lakehouse: Hopsworks has a centralized AI Lakehouse for data integration, governance and high availability, empowering enterprises with sovereign AI.
- End-to-End MLOps: Hopsworks has tools for experimentation, deployment and monitoring
- Compliance & Security: Ensures compliance with gaming regulations and robust management of sports data.
Success Story:
Sports Betting at PaddyPower
Challenge
Paddy Power Betfair wanted to determine betting prices with the help of predictions generated from machine learning models. The team of Data scientists were unable to easily discover and experiment with existing features and pipelines, share features across models, replace SQL-based feature pipelines with Python, and wanted to significantly improve speed of feature engineering.
Solution
The solution was to implement Hopsworks Feature Store with Python and exploratory feature analysis. Hopsworks was integrated as a repository of features ready to be used for training models with the existing AWS SageMaker architecture. Data scientists and analysts can now browse available features, inspect their metadata, investigate pre-computed statistics, and preview sample feature values.
Results
- Improved Feature Quality: Improved models that generate more revenue.
- Faster Feature Engineering: Access to statistics and metadata, decreasing the time to generate training datasets.
- Exploratory Data Analysis: Discover pre-computed features, types of those features, descriptive statistics and the distribution of feature values.
- Feature Reusability: Previously engineered and quality-assured features become available to be reused - ready for training.
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