AI for Betting

Data, AI & Machine Learning Engineering Solution

context​

The betting industry is constantly evolving, with new players approaching online and offline gambling all around the world. This growth brings new challenges for betting operators: increased competition requires innovative strategies for market differentiation, while the evolution of fraudulent techniques makes it essential to implement advanced security systems to protect users.

In this scenario, Artificial Intelligence emerges as a transformative technology, offering sportsbooks the possibility to automate critical processes, improve the customer experience and implement cutting-edge protection systems. At the same time, the ability to process and analyze large volumes of data in real-time becomes fundamental to maintain competitive advantage, and to ensure compliance with the sector’s increasingly stringent regulations. 

 

ai for betting

pain points

  • Growing competitive pressure requiring customization of offerings
  • Vulnerability to financial fraud – for example, multiple accounts and arbitrage betting
  • Identification of anomalous patterns and suspicious activities
  • Difficulty in real-time monitoring of bets and financial exposure
  • Complexity in managing and dynamically adjusting odds
  • Preventing problematic gambling behaviors in compliance with regulations
  •  

solutions

Real-Time Recommendation and addiction prevention

User-generated information can be leveraged for upselling and cross-selling purposes. Bitrock, thanks to its proprietary platform Radicalbit, enables the creation of real-time recommendation systems that combine AI with real-time data to suggest new bets based on player activities and behaviors. The same technology can be used to tackle problem gambling, eg by flagging repetitive and harmful behaviors in real-time. Bookmakers can use this information to take actions such as direct contact and account suspension. 

AI-based Fraud Detection

 Thanks to the Radicalbit platform, Bitrock can create AI-based systems that learn from historical data to improve the accuracy of fraud detection for online betting. These AI systems excel at identifying patterns and anomalies that would likely escape human observation or traditional rule-based systems. Moreover, Radicalbit’s real-time model drift detection capabilities allow identifying unusual patterns and inaccurate predictions as soon as they occur, facilitating timely maintenance of AI models. This in turn dramatically decreases the occurrence of errors such as false negative and positive, increasing the accuracy of the whole system.

Financial Exposure Dashboard

Bitrock can create real-time dashboarding solutions that allow sportsbooks to monitor the financial exposure on a single or multiple events. This greatly enhances situational awareness, supporting an effective adjustment of odds and cashout management to proactively limit the sportsbook’s financial exposure.

benefits

  • Improvement of customer experience through personalized recommendation systems
  • Significant reduction of false positives and negatives in Fraud Detection
  • Optimization of financial risk management
  • Automation of suspicious activity monitoring
  • Increase in operational efficiency in odds management and cashout
  •  
Technology Stack and Key Skills

 

  • Real-time Processing Systems
  • AI/ML predictive models
  • Data Streaming
  • Real-time Analytics
  • Interactive Dashboard Development
  • Pattern Recognition
  • Anomaly Detection

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