AI analytics are changing the gaming industry for the better. With the help of AI, gaming companies are able to gather data about how gamers interact with their games. This data is then used to improve game design, gameplay, and even marketing strategies. As a result, gamers are enjoying better games that are more tailored to their individual preferences. Let’s explore exactly how AI has transformed gaming and its benefits.
The Beginning Of AI Analytics In Gaming
AI analytics takes the concept of AI one step further. Instead of only tracking individual actions, AI analytics tracks gamers as they play through games. The information gathered can be used to help companies make design decisions about everything from the layout of the game itself to how items are priced within it. Some forms of AI analytics can even track gamers’ emotions and adapt gameplay or storyline accordingly. AI analytics is not a new concept. The first example of the implementation of AI analytics for gaming was in 1994 when The X-Files Game was released. This game allowed gamers to collect clues that could be used to help solve puzzles later on in the game. These clues were based on how well gamers performed at certain tasks within the game. When The Sims franchise made its debut in 2000, it initiated a wave of games using an AI technology called finite state machines (FSMs). FSMs record and analyze player data to make decisions about how to optimize gameplay. For example, if players find themselves doing only one specific action over and over again during gameplay, FSMs can be programmed to recommend other actions that are equally enjoyable for players, but take them down a different and unexpected path.
Gaming Advances With AI Analytics
As early as 2007, developers began to implement machine learning into video games, which allowed for even more sophisticated gameplay analytics. Since then, artificial intelligence has been used extensively in gaming. It is now integrated into many aspects of the gaming industry from player engagement to the creation of new games. For example:
- Organizations such as APEX Tournament make use of advanced data analytics based on AI algorithms to create personalized tournaments based on gamers’ preferences and style of play. This helps attract a wider audience since players can find a tournament that fits their individual needs and abilities instead of being forced into a specific tournament that they do not enjoy playing.
- Game developers are also relying on the use of AI analytics to create more immersive games. For example, developers can incorporate personalized gameplay into their games based on players’ previous experiences with similar games.
The Benefits Of AI
Using data gathered by AI analysis to gain insights about players’ preferences is helping game companies develop new titles and target them at specific audiences. For example, Supercell’s Clash Royale makes use of player data gathered from their other titles “Clash Of Clans” and “Hay Day”. By doing this, the company was able to determine which types of gamers would most likely enjoy playing “Clash Royale”. This allows them to market the game directly towards those groups resulting in higher sales. This targeted marketing is possible because gaming now has access to advanced tools to gather and analyze player data.
AI analytics has also allowed gamers to benefit from unique gameplay experiences that are tailored specifically to them. For example, The Void is a virtual reality theme park that incorporates Oculus Rift headsets allowing players to experience virtual worlds in immersive ways. Gamers interact with these virtual worlds using real-life sensory effects like wind, heat, mist, and smell among others. The game developers make use of information about individual players’ preferences when creating each new game. As a result, each gamer gets an individualized adventure that makes their experience unforgettable.
Using AI, game analytics can predict the revenue and number of players that a new title will generate well before it is released. This allows companies to allocate sufficient resources for their products and plan accordingly. For example, Niantic used predictive modeling when developing Pokémon Go based on data gathered from test markets in Australia and Japan to determine how many users would be interested in downloading the app.
Reduced Development Time
Developers can make use of AI tools like finite state machines (FSMs) in development to reduce time spent testing and refining products. FSMs are capable of recording actions that gamers take during gameplay then using this information to improve future games that they design.
The use of machine learning and AI analytics can help game companies make decisions that affect their customers. For instance, since the release of Pokémon Go in 2016, Niantic has used historical data to determine how many users are playing the game at any given time. This allows them to plan for future resource needs accordingly.
The Future Of AI Analytics In Gaming
As AI technologies continue to advance, we can expect to see more advancements in gaming as well. Shortly, gamers will be able to link their preferences and experiences from multiple games into one platform that gives them a detailed analysis of how they play. This detailed analysis will help developers create games that better fit the preferences of different groups of players. AI is also making it possible for gamers to play against opponents who are based on real-life humans instead of computer algorithms. A good example is IBM Watson playing against chess Grandmaster Magnus Carlsen. The outcome was a hard-fought draw which shows how advanced AI technology is getting close to being able to beat human opponents at complex tasks like Chess and Go (which is still undefeated by a computer).
With AI having transformed multiple aspects of the gaming industry it’s no wonder why companies are racing towards incorporating this technology into their games as quickly as possible!. AI is being incorporated into video games by developers to help create engaging titles for players based on their preferences while simultaneously allowing them an individualized experience so they can have fun. The use of state machines during development helps reduce the need for extensive testing while also helping create better products faster which ultimately makes gamers happy!