Machine-learning platform for operational decision making
AssigneeGaming Analytics Inc
InventorsKiran Brahmandam, Matthew Parker, Kurt Ruegg, Krishnan Srinivasan, Andrealiz Afable
Life of this patent
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Abstract
A platform for providing projections, predictions, and recommendations for casino and gaming environments. The platform leverages machine learning and cognitive computing. Through a natural language interface, the platform presents this information in a way which is natural and timely for casino operational executives to understand and act upon. The platform can optimize gaming machine performance casino floor performance based on various metrics that are predicted by the platform.
Claims20
A computer system including a processor and a memory, the memory containing software instructions configuring the system to perform acts including:
- receive gaming machine data for each of plurality of gaming machines of a gaming environment, wherein the gaming machine data comprises one or more of an amount of bets, a gaming machine denomination amount, a gaming machine location, and a number of games played;
- based at least partially on the gaming machine data, generate a model that normalizes the gaming machine data to account for one or more of yearly trends, monthly trends, and weekly trends in the course of determining an expected value for each of a plurality of game types;
- for one or more specified locations within the gaming environment, calculate an expected value for each of the plurality of game types based on the generated model;
- cause to be displayed on an interface a gaming environment operational recommendation, wherein the gaming environment operational recommendation is directed to at least one of the plurality of gaming machines based on the calculated expected values;
- and
- cause to be displayed on the interface a quantification metric for the gaming environment operational recommendation, wherein the quantification metric of the gaming environment operational recommendation is based on the generated model.
A non-transitory computer readable medium containing software instructions for configuring a computer system programmed thereby to perform acts including:
- receiving gaming machine data for each of plurality of gaming machines of a gaming environment, wherein the gaming machine data comprises one or more of an amount of bets, a gaming machine denomination amount, a gaming machine location, and a number of games played;
- based at least partially on the gaming machine data, generating a model that normalizes the gaming machine data to account for one or more of yearly trends, monthly trends, and weekly trends in the course of determining an expected value for each of a plurality of game types;
- for one or more specified locations within the gaming environment, calculating an expected value for each of the plurality of game types based on the generated model;
- causing to be displayed on an interface a gaming environment operational recommendation, wherein the gaming environment operational recommendation is directed to at least one of the plurality of gaming machines based on the calculated expected values;
- and
- causing to be displayed on the interface a quantification metric for the gaming environment operational recommendation, wherein the quantification metric of the gaming environment operational recommendation is based on the generated model.
A method, comprising:
- receiving, by a gaming machine analytics computing system, gaming machine data for each of plurality of gaming machines of a gaming environment, wherein the gaming machine data comprises one or more of an amount of bets, a gaming machine denomination amount, a gaming machine location, a number of games played, gaming machine model, gaming machine manufacturer, game machine title, player identities, and loyalty levels of players;
- based at least partially on the gaming machine data, generating a model that normalizes the gaming machine data to account for one or more of yearly trends, monthly trends, and weekly trends in the course of determining an expected value for each of a plurality of a game types;
- for one or more of the plurality of gaming machines, calculating one or more expected values based on the generated model;
- causing, by the gaming machine analytics computing system, a gaming environment operational recommendation to be displayed on an interface, wherein the gaming environment operational recommendation is based on the one or more calculated expected values;
- and
- causing, by the gaming machine analytics computing system, a quantification metric of the gaming environment operational recommendation to be displayed on the interface.
Dependencies are inferred from the claim text.