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AI Use Cases

A collection of over 250 uses for artificial intelligence

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Suggesting alternative gaming options during peak times to reduce wait times

Introduction

The gambling industry is a very diverse and innovative branch. With the use of the internet, gamers can now play a wide range of games at their convenience through their devices. However, such changes have posed serious challenges particularly during peak hours where the demand for particular games outweights the supply and hence leads to slow progress. This is where the use of Machine Learning (ML) and Artificial Intelligence (AI) comes in. The two are modern techniques that are being employed to recommend other games to players especially during peak hours in order to solve the problem of long wait times, improve the experience of the users, and increase the productivity of the industry.

Challenges

There are several issues that affect the gambling industry and AI and ML can be used to solve some of them. Another major problem is how to handle customer traffic during the busy hours. High demand can result in increased queueing time for the most popular games, which may create an undesirable condition such as customer complaints and loss of business. Also, the existing approaches used for demand management are suboptimal and may not fully address the variety of needs of the customers. The industry also faces the difficulty of providing tailored entertainment to each player, while at the same time upholding principles of equity, safety and legal requirements.

AI Solutions

In order to address these challenges, the gambling industry is integrating AI and ML into its operations. For example, by applying AI, it is possible to track player’s behaviour and preferences and recommend different games at peak hours. In addition, ML algorithms enable AI to understand past events and make future predictions of when the demand for resources will be high thus enabling effective management of resources. Also, AI can be used to provide the player with a unique and customized experience depending on the individual’s preferences and history of betting. For example, BetBuddy and Playtech are some of the companies that are applying AI in player experience and game recommendations. This is because AI can also be used in preventing frauds, guaranteeing that everything that occurs in the company is above board and in adherence to the provision of the law.

Benefits

There are a lot of advantages of using AI and ML in the gambling industry. It helps in the effective utilization of resources especially during the peak periods thus reducing the queue time and improving the customers’ experience. With the help of AI, it is easier to recommend other games to the players, which in turn may enhance their interest and commitment towards the platform. In addition, the capability of AI in providing tailored gaming experience for each player is likely to enhance customer retention. It also contributes to the aspect of fairness, security, and regulation that are important in the gambling sector.

Return on Investment

There is a great potential for the investment in the AI and ML technologies in the gambling industry. This can help to reduce the wait time and hence increase the player engagement which can in turn increase the revenue. In addition, the enhanced customer experience that comes with receiving personalized game recommendations is a sure way of enhancing customer loyalty, which in turn increases the retention rates in the long run thus increasing the revenue. Also, the savings that the industry will realize from efficient resource management and fighting against fraud will also help to enhance the industry’s ROI. Some of the big names in the industry such as Kindred Group and 888 Holdings have also seen positive outcomes such as enhanced customer engagement and increased profits after integrating AI.

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