Often, RPA is talked about in context to AI, but it is essential to understand that these two are varied processes. RPA is structured to perform repeatable manual tasks to release human so that they can focus on other activities. The automated system can perform paper-based work like entering information in the right field or correct the recurring errors in a particular task. It has been projected that the accuracy and compliance of RPA can offer a $3 billion growth to market by 2025.
On the other hand, AI works on the plot of intelligence including speech and image recognition, decision making and prediction methods. Analyzing the demand of the technology, McKinsey predicted that AI can deliver $3.5 to $5.8 trillion value per annum.
The combination of AI and RPA is contributing to the tremendous growth of businesses in the competitive edge of the world, it becomes important to rightfully use their power tools. AI and RPA when work together can offer complementary synergies to the market.