Over the past few years, AI has become a buzzword. But, how do AI and RPA differ? And, how can these technologies be utilized in entertainment? Let’s take a look.
Robotic Process Automation (RPA)
Robotic process automation (RPA) is the use of programming ‘robots’ – physical or virtual – using innovative software. RPA is programmed with various rules that allow it to automate simple rule-based processes. For this reason, it might also be referred to as rule-based process automation – it quite literally automates processes based on rules. Due to this, RPA can be programmed to automate repetitive rule-based tasks, freeing up employees for more value-adding tasks instead. Thus, RPA can ultimately improve efficiency in operations, optimise productivity, reduce errors, and boost job satisfaction, as mundane tasks will no longer need manual input.
Outside of more formal business settings, RPA use has been slower on the uptake than AI, with most using RPA for customer service, HR, financial, and logistical applications. That said, blackjack, slot games, poker, and bingo at Paddy Power use RPA to automate processes behind the scenes and ensure that their games are as fair as possible. In this sense, the Irish betting company is leading the pack in regards to utilizing RPA in modern entertainment applications, coding it with around 100 rules to enhance and streamline customer experience, without compromising on the quality or loading speeds of the gameplay.
In modern entertainment applications like online casinos, RPA is also combined with optical character recognition (OCR) to further automate processes and enhance gameplay. The combination of RPA and OCR has cemented demand for RPA, according to Yahoo Finance. OCR is used to capture the results of any live games such as bingo, poker, blackjack, or roulette – and even customer service interactions – turning the results into code so that the results can be accurately read and recorded by RPA. Based on the rules, RPA can then use the results to inform its next steps, be it announcing a winner or requesting more information from the player, making the games as fair and authentic as possible.
Artificial Intelligence (AI)
Whilst RPA is sometimes labelled as a form of artificial intelligence (AI), technically it is not – well, not fully, at least. Though the way it works is similar, it is not a complete AI solution as it requires manual input to programme its rules and RPA itself can only follow these rules. However, AI has the ability to learn from the data that it processes without manual intervention. In this sense, whilst RPA is suited to repetitive tasks, AI can be used to automate more complicated tasks due to its ability to make decisions and solve problems.
For this reason, AI is more widely used in modern entertainment applications. In TV and film, AI is often used in content creation, post-production, and marketing, whilst, in the video game industry, AI is utilized to make gameplay more realistic. According to Forbes, AI in media and entertainment is worth $13 billion, and sees a compound annual growth rate of 26%. By 2030, it is estimated to be worth $99.3 billion.
With all this in mind, as technology is seemingly endlessly seeing new innovations, both RPA and AI could see many modern entertainment applications in the future. Whether it is RPA or AI (or both) depends on the complexity of the application, and the needs and requirements of the platform.
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