Applications, Tools and Technologies of Robotic Process Automation in Various Industries

Nowadays every industry from healthcare to banking is revolutionized and working automatically to deal with online processes using Artificial Intelligence (AI) to work with Machine Learning (ML) enabled systems. A subfield of AI called Robotic Process Automation (RPA) came into play to automate human tasks. It is a technology for the automation of repetitive processes to minimize the workload and time of human agents. It is best known for fast processing, handling huge amounts of data and reducing computational time, cost by improving accuracy, quality and speed. This technology is becoming famous and used in many sectors like education, agriculture, pharmaceutics along with accounting to enhance work mechanisms. Every industry generates huge amounts of data each year which is very difficult to manage. RPA has many advantages, features and applications from dealing with huge data to reducing manpower and enabling the system to work automatically. There are various platforms like- Power Automate, Pega, WorkFusion, Jacada, WinAutomation, NICE systems, Automation Anywhere, Blueprism and UiPath, in which RPA could be implemented to automate the tasks. Further, in this article, pros, cons and applications of RPA are identified along with the ML approaches used for RPA processes.