Robotic Process Automation (RPA) is a technology that uses software robots or bots to automate repetitive tasks and streamline business processes. RPA is often used in industries such as finance, healthcare, and manufacturing to improve efficiency and reduce human error.
Machine Learning (ML) is a subset of Artificial Intelligence (AI) that involves training algorithms to make predictions or decisions based on data. ML algorithms can be used for a variety of tasks, such as image recognition, natural language processing, and anomaly detection.
While RPA Machine Learning are different technologies, they can be used together to create more powerful automation solutions. RPA can be used to automate simple, repetitive tasks, while ML can be used to automate more complex decision-making processes. For example, an RPA bot could be used to extract data from a document, and an ML algorithm could be used to analyze the data and make decisions based on it.