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The Intelligence of the Future: Artificial Intelligence and the Gambling Industry (Part 1)

As casino games continue to evolve, so does the need for the latest technological advances, and one of the fastest-growing areas is artificial intelligence.
Artificial Intelligence (AI) has influenced the way the gambling industry operates in many ways, not only broadening the industry’s horizons, but also creating an entirely new gaming environment with virtually unlimited machine-operated capabilities.
In fact, every area of the gaming industry, from developers creating games to operators monitoring their customers’ play, is increasingly utilizing AI to innovate with greater precision and time savings. AI is also changing the way the world develops outside of the industry. For example, AI will be a key component of self-driving cars and medical technology advancements, to name a few.
Looking back over recent years, Paolo Personeni, Managing Director MBS (Managed Betting Services) at Sportradar AG, believes that AI is an important sign of maturity in the industry and is vital to its continued growth. “AI is a key component of product development,” said Mr. Personeni. “Over the past five years, our industry has undergone a major digital transformation, and AI has played a critical role in its development.” It is clear that AI is a key technology in the industry that cannot be ignored.
Diversified Applications
In the gambling industry, AI can collect data and analyze statistics and events to continuously improve its accuracy, making the industry an ideal testing ground for the development of AI.
Lloyd Danzig, founder and managing partner of Sharp Alpha Advisors, points out that data is at the heart of how AI works in the gambling industry, and that it is a core competency needed for game design, odds making, risk management, customer analytics, incentive program optimization, and fraud detection. Therefore, it is expected that the industry will rely heavily on the use of AI to consolidate historical data and predict future behavior.
Aiming for the Goal
According to Personeni, the use of AI is particularly critical in the sports betting sector, where it is central to ensuring that Sportradar’s products and solutions are as accurate as possible. He further explains, “For Sportradar, one of our core focus areas is to develop superior computer vision capabilities using machine/deep learning, which is a form of AI that can be used to analyze models and further parse video and images. For example, by calculating a player’s speed and trajectory, we can predict when a player is offside, or predict when an attack will start.”
At the same time, the design of AI can complement more aspects of the game, allowing for more unrestricted game development in the future. In 2019, hardware intelligence company MicroTeam launched a pair of AI soccer boots that can capture relevant sports data at high speeds with an accuracy that can even be calculated in millimeters, including the line of attack and the distance traveled without the ball. This data can then be analyzed and used in player and match evaluations as well as sports betting platforms. AI is also used to analyze and predict e-sports matches to provide bettors with the best possible experience. For example, Esports Technologies filed an AI patent in October last year for the creation of odds models for e-sports betting competitions.