Experts believe that it is the development of artificial intelligence (AI) that will serve as the basis for a new technical revolution. AI is massively introduced into all spheres of human activity, including online gambling. What awaits us in the near future?

 

Gaps in modern online gambling

 

A few years ago, the main trend in the development of the gaming industry was the mass introduction of mobile applications. The companies that made this the first to become industry leaders. The new trend is artificial intelligence, but many managers simply because of the lack of special knowledge do not quite understand how AI will affect the online casino market. In this regard, a gap arose - gambling establishments did not introduce massively artificial intelligence, in particular, the technology of neural networks and deep learning, during 2017-2018, although effective commercial solutions already appeared. So, already in 2015, the rapid introduction of artificial intelligence technologies in the field of online sales and online advertising began.

 

Another gap is associated with the misconception that the process of implementing AI will be gradual and greatly extended over time. However, the experience of the same mobile applications shows that this is not so. At some point, explosive growth occurs when all companies almost simultaneously begin to introduce innovation. This is also confirmed by earlier examples of social networks and technologies for processing large data arrays (“big data”).

 

The most successful operators have become such precisely because they primarily look at the wishes of customers and try to please them by introducing new technologies and increasing the ergonomics of their services. You can learn more about it at this source.

 

Why is the introduction of artificial intelligence more important than the development of mobile applications?


The use of mobile applications has made it possible, first of all, to make the interface of online casinos more convenient, that is, to their shell. Artificial intelligence has a deeper effect on the process of the site. AI is primarily a tool for making decisions and choosing a sequence of actions, as well as a way to obtain new information. For example, in related fields, it is already used for automatic parking of cars, selection of advertising targeted at a specific user, translation of texts from foreign languages.

 

How to introduce artificial intelligence into the industry?


The most important task in introducing new technologies is to find a way to bring them to the market, that is, to choose a competent approach for using innovation. First of all, it is necessary to clearly formulate the task that the new technology will solve. For example, to increase the affection of customers, it is important to offer them the most interesting recommendations on the start page.

 

It should be borne in mind that the introduction of new innovations should not increase the complexity of working with the game service interface for customers. Therefore, artificial intelligence must itself find those offers that interest the user. Then the AI ​​will solve the problem and bring benefits, but will not appear just for show.

 

What difficulties arise when implementing AI?


The main difficulty is associated with the need to interest the operator in introducing new technologies, for example, in-depth training. Usually, the owner of an online casino is preoccupied with much more mundane tasks, for which he devotes his resources. It is very important here that he makes sure that he does not have to invest a lot in introducing innovations. It is also necessary to demonstrate to him the transparency of the technology, there should be no "white spots" in it. Recently, artificial intelligence has become a trend, and therefore the owners of online casinos already understand the promise of this technology.

 

Another difficulty is the long lead time. Deep learning is a very complex technology that is hard to figure out on your own. For this reason, it is much easier and cheaper to purchase a turnkey solution in this market than to develop something of your own.

It is also difficult to collect all the necessary data. Some companies, such as VAIX, are ready to create a model of deep learning in less than two weeks, but for its correct operation, information is needed, which will take more than one month to collect. This time, in fact, is spent on training the created intellectual model.