AI can help casinos and gaming operators drastically improve their operations
Now, more than ever, it is imperative that casinos and gaming businesses look for alternative ways to improve profitability, especially after the coronavirus pandemic changing normal business operations. Artificial intelligence (AI) is becoming a mainstream technology because it is helping companies simplify different parts of their operations, and is currently being used fully by Google, Siri, and several online gaming sites. With more technological advancements, AI is starting to play a more important role in the gambling industry for its many contributions in different sectors.
AI can efficiently collect and analyze a number of data that no human could ever process. For online gaming businesses, this is particularly helpful because they often have growing customer databases, so AI can help with verifying players for eligibility. AI can offer insightful observations about the data collected to improve the operator’s ability to track players, and there are traditional casinos already using AI to track players on the floor, which can be done for online gambling sites, as well.
The gaming industry often walks a fine line with anti-money laundering (AML) policies around the world, so it becomes of utmost importance to keep track of the transactions customers make on their platforms. An AI-empowered system can make a difference by identifying areas in which the operator is not complying fully as well as provide reports on how to fix the problem. Also, AI software can scan transactions in real-time to spot unregular transactions that might be violating the rules and pass them over to law enforcement.
Another important contribution AI has made to the gambling industry is the constant reports of cases of theft and fraud that can take place in gambling sites, including by employees and patrons who find ways to take advantage of systemic glitches. Particularly for online operators, theft and fraud can drain a company’s profits. AI systems can be taught to identify fraud or theft cases in real-time by comparing the person’s behavior with the direct data that is stored to create patterns and report them in a timely manner.