AI Betting

Artificial intelligence and machine learning are helping in predicting the patterns in a sport, but, for AI to work significantly well, this sport has to be predictive, and should follow a particular set of rules. For instance, football, which has a specific set of rules with short duration and gets repeatable, can be used for the AI model, where over a lakh of videos of the games were put through the algorithm for one to see patterns that can be predicted by AI. The real effect of the technology is felt when it provides these insights in real-time, which might impact on the significant factors when it comes to betting.

AI (Artificial Intelligence) is extremely powerful. Its algorithmic structures and detailed processes allow for unprecedented accuracy when it comes to results; results more accurate than even the human brain can produce.
Over recent years, AI has begun to filter into our everyday lives – not least in our sector – online gambling.

Gambling operators are utilising AI in order to conduct business operations more efficiently and produce more accurate results; with these results providing the platform for a better product/service and ultimately, increased profits.

Sports betting is one of these perfect problems for machine learning algorithms and specifically classification neural networks. Tons of data available and a clear objective of picking the winner! Nonetheless, classic classification models are not well suited for betting strategies, and one needs to use a custom loss function in his neural network to achieve better profitability.

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