RG NEEDS AI
Presentation Type
Lightning Talk
Start Date
23-5-2023 3:45 PM
End Date
23-5-2023 5:15 PM
Disciplines
Artificial Intelligence and Robotics | Databases and Information Systems | Numerical Analysis and Scientific Computing
Abstract
AI will transform RG
Artificial intelligence is the foundation of the future of decision-making. Why? The speed of new system data output is accelerating much faster than the ability for humans to interpret, correlate and make decisions.
What is needed is:
-
IoT machine integration
-
Real-time data flow
-
Heterogeneous big data set
-
Fine granular data
-
Multi-game/multi-denomination information
-
Player tracking integration
-
Player behavior information
To successfully create a quantitative RG AI Solution the following parameters are required:
-
Speed between each bet (accelerates/decelerates)
-
Change in the amount bet (increase/decrease)
-
Money balance on the EGM before subsequent cash in.
-
Number of losing bets in a row vs. other data
-
Game type changes during the same session
-
Denomination change
-
Total amount played per session
-
Total time played per session
-
Speed of risk category change
To successfully set up an RG AI Solution, we need to define the median of a player behavior by standard profile:
-
Normal Player
-
Player At-Risk
-
Define risk categories and gating triggers
-
Set up alerts when there is a deviation from the median
-
Create a monitoring dashboard
-
Implement an intervention strategy
-
Set up an exclusion list
-
Set up exclusion list triggers
The blockers to success:
-
Education
-
Migration to cloud / big data
-
Quantitative research
-
Know Your Client (KYC)
-
Perception of Revenue Loss
-
Regulations
The path to predictive addictive gambling is simple:
-
Big Data
-
Cashless
-
KYC
-
AI
Keywords
responsible gaming, artificial intelligence, predictive analytics
Funding Sources
Personal Funding
Competing Interests
Not applicable
RG NEEDS AI
AI will transform RG
Artificial intelligence is the foundation of the future of decision-making. Why? The speed of new system data output is accelerating much faster than the ability for humans to interpret, correlate and make decisions.
What is needed is:
-
IoT machine integration
-
Real-time data flow
-
Heterogeneous big data set
-
Fine granular data
-
Multi-game/multi-denomination information
-
Player tracking integration
-
Player behavior information
To successfully create a quantitative RG AI Solution the following parameters are required:
-
Speed between each bet (accelerates/decelerates)
-
Change in the amount bet (increase/decrease)
-
Money balance on the EGM before subsequent cash in.
-
Number of losing bets in a row vs. other data
-
Game type changes during the same session
-
Denomination change
-
Total amount played per session
-
Total time played per session
-
Speed of risk category change
To successfully set up an RG AI Solution, we need to define the median of a player behavior by standard profile:
-
Normal Player
-
Player At-Risk
-
Define risk categories and gating triggers
-
Set up alerts when there is a deviation from the median
-
Create a monitoring dashboard
-
Implement an intervention strategy
-
Set up an exclusion list
-
Set up exclusion list triggers
The blockers to success:
-
Education
-
Migration to cloud / big data
-
Quantitative research
-
Know Your Client (KYC)
-
Perception of Revenue Loss
-
Regulations
The path to predictive addictive gambling is simple:
-
Big Data
-
Cashless
-
KYC
-
AI