Technology has always been at the forefront of radical thinking businesses of various industry verticals. While exhibiting progressive growth and development, technology has also paved the way for advanced or emerging trends like AI or Artificial Intelligence, ML or Machine Learning, AR or Augmented Reality, VR or Virtual Reality, to name a few.
AI has found widespread use in our everyday life. Whether it is Amazon’s Alexa or virtual assistants like Siri, AI is actively used for improved user experience. Although, still in its infancy, AI is also used in gambling or casino gaming.
Machine Learning or ML is one of the active applications of AI. In fact, ML goes hand in hand with the latter in providing gambling or casino gaming systems with human skills; for instance, IBM’s Deep Blue Computer’s epic victory against a chess master, Garry Kasparov.
An Introduction to AI in Casino Gaming
Some of the areas the casino industry is making use of or can make use of AI include CRM, marketing automation, voice recognition, facial recognition, fraud detection, sentiment analysis, predictive asset maintenance, etc.
In fact, AI has made possible the concept of smart data by collecting and analyzing data to give accurate predictions.
How AI is used in Casino Industry?
Player Database: Collecting and analyzing player data enables the casinos to provide them with a customized gaming experience or offers they can never refuse. AI can also evaluate the effectiveness of a particular campaign by analyzing the smart database.
Further, AI makes use of predictive analysis, for instance, particular games preferred by a player or the amount of time they spend playing a said game. Using this data, the system will showcase those offers that will appeal to particular players.
Identifying valuable customers via machine learning: AI or rather machine learning, an active subset of AI can absorb or analyze different data to provide a list of valuable customers. For instance, ML compares the amount of time and money spent by a particular player, or his skill level using a combination of matrices or via data mining to identify those key players.
Customer Support: Live chatbots or 24/7 customer support via email and chat backed by AI makes for both effective and faster communication. While Machine learning is a by-product of AI, Deep Learning is an integral part of the former, which simulates human conversational patterns. Thus, facilitating real-time customer support. AI also aids in Natural Language Processing or NLP that can be made use for sentiment analysis of players for not only better user experience, but also for personalized customer support.
How online gaming industry gets the AI boost?
Recognizing a problematic player is rather complex especially for online casinos. AI is an ideal solution to address this problem. Yet again player database and behavioral analytics come into picture where the system can effectively weed out such players.
Increasing traffic: Every player is different; likewise, the campaigns that work for one player may not work for the other. Thus, computing the odds based on individual preferences and tabulating the results will help the online casinos in attracting a broad spectrum of audiences. AI and ML greatly help by delivering player-specific campaigns for generating traffic.
Benefits of AI in the Casino Industry and Online Gambling
While better gaming experience is a given, improved customer service is an added benefit of AI in online gambling. Land-based casinos also make use of AI with facial recognition software to identify fraudsters or those banned from visiting the casinos.
Virtual reality and fantasy sports are fast emerging as mainstream, which though in developing stages, has already garnered quite the popularity. Esports for instance has paved the way for a new segment of sports betting, which is yet another product of AI.
AI is undoubtedly influencing and changing lives for the better. While it also extends to online casinos and gaming, it is proving useful for not only the casinos but for the players as well.
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