Artificial Intelligence & Machine Learning In Video Gaming

The seamless merger of cloud computing and artificial intelligence (AI) is driving a mass uptake of new intuitive technology. With the exponential growth in cloud-based applications and hosting, this merger of two spheres of technology will find a place in almost all aspects of our working and private lives in the foreseeable future.

Many people use the terms “artificial intelligence” and “machine learning” interchangeably, though this is a fallacy. Understanding the difference is important, as machine learning plays a rather unique role in many applications, including the online video gaming industry.

What is machine learning?

There is still a fair degree of public and media confusion as to exactly what the distinction between artificial intelligence and machine learning is. In fact, some companies who are employing a rudimentary form of AI in their applications use the two terms synonymously. 

Machine learning is the ability of a computer system to study algorithms and to improve through learned experience. Machine learning basically relies upon working with a range of datasets – examining and comparing this data to discover common patterns and behaviors. 

Determining future player patterns

The online gaming industry is rather unique, and so too is the application of machine learning in this niche market. One of the key examples is the ability to predict patterns of future player behavior in order to customize the marketing of products and future game options in the most effective and appropriate manner possible.

Typically an end-to-end AI cloud platform is employed, which assesses a range of datasets including playing style, game choice, betting levels, and length of gaming time in order to customize future marketing and game presentation.

Almost Endless Options 

With respect to machine learning, the capability to assess multiple datasets to make future behavioral changes is further augmented by the ability to network systems, opening the way for exponential growth in that learning capability.

More broadly, the applications for AI are virtually endless and will likely see the technology integrated with online gaming sites of all types on all devices as there has been a shift in those wanting to play while on the go. If technology continues to integrate with online mobile sites and apps successfully, taking advantage of AI and machine learning, it will only improve user experience. See for yourself already how this clever technology is enabling players to enjoy casino games and do so while on the go. Check out spinpalace.com, which operates in one genre of the gaming industry. 

Cheating and anti-money laundering

The AI model’s machine learning function can play a vital role in observing behavioral patterns in both patrons and employees to identify illegal behavior, including cheating and money laundering.

A more basic rule-based program tends to throw up an inordinate number of false positives, which can result in longer times spent investigating legitimate behavior. The AI machine learning platform allows a more discriminating, predictive system that eliminates a significant number of false positives.

Over time, the system becomes more refined – in short, it learns from past experience.

The future of AI

With its rather unique set of needs and procedures, the online gaming sector has perhaps played an important role in further understanding the applications of AI and machine learning. It would be fair to observe that this is merely the tip of the iceberg, and the potential applications for this emerging technology are virtually unlimited.