What is RPA in AI

Robotic Process Automation (RPA) automates repetitive, rule-based tasks using technology. Artificial Intelligence (AI) simulates human intelligence by enabling computers to learn and adapt and perform tasks that would usually require human intervention such as processing natural language or problem solving. RPA can be integrated into AI systems to enhance AI and facilitate AI learning and performance.

What is the difference between RPA and AI

The key difference between Robotic Process Automation (RPA) and Artificial Intelligence (AI) lies in their scope and capabilities. RPA is a rule-based automation technology focused on automating routine, repetitive tasks by mimicking human actions within predefined processes. It excels at automating structured data tasks but lacks the cognitive abilities for complex decision-making. On the other hand, AI is a broader concept that encompasses technologies that enable machines to simulate human intelligence, including learning, reasoning, and problem-solving. AI utilizes algorithms and models to analyze data, make predictions, and adapt to new information. While RPA is process-centric and rule-driven, AI is more versatile, handling unstructured data, natural language processing, and making decisions based on patterns and insights. In essence, RPA is a subset of automation, while AI represents a more comprehensive approach to mimicking human intelligence in machines.