THE APPLICATIONS OF AI IN THE IGAMING SECTOR Posted on : Aug 18 - 2020

Like many forms of entertainment within the software space, the world of iGaming is one that relies on the application of artificial intelligence technology. Setting this industry apart from its contemporaries is just how deep the AI-iGaming connection runs in the key facets of its regular operation. In this article, we want to explore two of the most important of these avenues, to uncover just how crucial the integration of these systems has become.

Reliance Testing

Perhaps the most common use of AI with iGaming is seen with game testing. As a part of the software utilized to ensure platform reliability and statistical consistency, AI systems in these instances are implemented to perform work that would traditionally be performed by humans. The reasons that AI plays such a fundamental part in this equation are twofold.

The first is that many software developers that supply modern online casino games are extremely prolific. It’s common for the larger developers in this industry such as NetEnt and Microgaming to release dozens of games like slots a year. While small teams can and have effectively built a range of engaging experiences, testing such an enormous number of games to ensure they’re fair for punters isn’t realistically possible on the human scale.

This is where the second reason comes in, in how AI can effectively stress-test games thousands of times faster than a human ever could. By running the same and slightly modified tests thousands of times, the possibility for bugs to raise their heads becomes infinitely higher. On the occasions when these do appear, the human programmers can make adjustments and apply patches, after which further testing can occur.

Measuring the Human Element

The other side of this coin moves from testing the games to ensure they’re fair, to measuring the users to prevent cheating or suspicious play. Applications here are most common in live casino games like roulette and baccarat, though the most valuable systems are involved with competitive games like hold’em.

In a game like hold’em, there are statistical realities that necessarily apply to all games. Tracking such statistics in real-time by a human overseer is not only difficult on a mathematical level but is also untenable in terms of manpower availability.

AI monitoring systems have no such concerns and can easily determine when play begins to fall outside of the realm of statistical achievability. From here, suspicious behavior, if overt, can be either completely banned, or passed on to the staff to analyze if it’s within the bounds of human possibilities. View More