AI has become a buzzword in the last few years. So what is the difference between AI and RPA? And how can these technologies be used for entertainment? Let’s see.
Robotic process automation (RPA)
Robotic process automation (RPA) is the use of innovative software to program physical or virtual “robots”. RPA is programmed with various rules that can automate simple rule-based processes. For this reason, it is also called rule-based process automation. Literally automate processes based on rules. As such, RPA can be programmed to automate repetitive, rule-based tasks, and instead assign employees to more value-added tasks. Therefore, RPA can ultimately improve operational efficiency, optimize productivity, reduce errors, and increase job satisfaction as routine tasks do not require manual input.
Outside of more formal business settings, RPA adoption has been slower than AI, with most using RPA for customer service, human resources, finance, and logistics applications. That said, at Paddy Power’s blackjack, slot games, poker and bingo, he uses RPA to automate processes behind the scenes to ensure the games are as fair as possible. In this sense, the Irish betting company is leading the way in leveraging his RPA in modern entertainment applications to enhance and streamline the customer experience without compromising gameplay quality or loading speed. has coded his RPA with about 100 rules.
Modern entertainment applications such as online casinos combine RPA with optical character recognition (OCR) to further automate processes and enhance gameplay. According to Yahoo Finance, the combination of RPA and OCR has boosted the demand for RPA. OCR is used to capture the results of live games such as bingo, poker, blackjack, and roulette, as well as the results of customer service interactions, convert the results into code, and allow RPA to accurately read the results. allow it to be recorded. Based on the rules, RPA can use results to inform next steps, announce winners, or request more information from players to make the game as fair and authentic as possible. .
Artificial intelligence (AI)
RPA is sometimes classified as a form of artificial intelligence (AI), but technically it is not. At least, not entirely. Although it works similarly, it is not a complete AI solution as it requires manual input to program the rules and RPA itself can only follow these rules. However, AI has the ability to learn from the data it processes without manual intervention. In this sense, RPA is well suited for repetitive tasks, whereas AI can be used to automate more complex tasks due to its ability to make decisions and solve problems.
For this reason, AI is more widely used in modern entertainment applications. While AI is often used for content creation, post-production, and marketing in TV and film, the video game industry uses AI to make gameplay more realistic. According to Forbes, the value of AI in media and entertainment is expected to reach $13 billion, growing at a compound annual growth rate of 26%. It is estimated to be worth $99.3 billion by 2030.
With all this in mind, technology seems to spawn endless new innovations, so both RPA and AI could see many modern entertainment applications in the future. RPA or AI (or both) depends on application complexity, platform needs and requirements.
