AI-based “shallow neural networks” provide the right amount of protection for iGaming platforms

As complicated as artificial intelligence (AI) is, the technology offers a vast number of attributes that can help all sorts of businesses. They have particularly been helpful for the iGaming industry, which is constantly having to protect its platforms from payment and user fraud. As AI technology becomes more engrained in daily operations, it is being tweaked to provide even better protection, such as witnessed through the introduction of “shallow neural networks.”

Neural networks are the software that is used to train algorithms to discover patterns within information that humans may miss. Large versions of these networks have been created by researchers to analyze massive amounts of data, which is what makes more realistic text responses to queries possible. However, these neural networks are sometimes too expensive, which can make it difficult for researchers to ascertain how and why the AI makes its predictions and decisions. When these neural networks become so large, researchers can get lost attempting to make sense of the billions of interconnected calculations taking place.

That’s shallow neural networks come into play. These are small neural networks with only a few layers in which calculations take place. They, along with along with more conventional statistical techniques, work just fine for most queries and analyses. The benefit is that iGaming operators can still provide robust protection to their platforms and users, without having to make an otherwise large financial investment. In doing so, they are able to support their anti-fraud and anti-theft operations more completely and securely, reducing attrition and financial waste.