Difference between AI and RPA

In recent years, we all have heard of AI and RPA. Automation is probably more popular than RPA. What is RPA and AI? How do they differ? RPA is an automation that does its job according to the program it was given. AI, on the other hand, uses its logic and understanding to complete the task regardless of the method used. Let’s examine in detail RPA and AI, and the major differences between them.
What is RPA?
Robotic Process Automation (also known as RPA) is a software technology that uses Artificial Intelligence (AI), and Machine learning technology to create robots (bots). These robots can perform simple tasks without human intervention. It is a technology that reduces time and produces no errors for mundane, repetitive tasks. It performs the assigned work autonomously, which was previously impossible because humans had to do it manually. These tasks include performing calculations, maintaining daily records and addressing queries.
Also read: Future of Robotic Process Automation (RPA 2021 and Beyond
What is AI Automation?
AI is a horizontal technology that allows for data decisions. Sometimes it makes forecasts or decisions based upon laws that humans have created manually (rules engines); other times it makes decisions based upon many numeric criteria that it has accumulated through a lot of testing (machine learning). We have come to appreciate AI as an additional complement to the RPA robots. RPA and AI go hand in hand to automate new fields and make it easier to automate more complex tasks.
Difference between AI and RPA
RPA and AI are two different things. AI is a projection by technology of human intelligence, while RPA mimics human behavior. RPA is process-driven and AI is data-driven.
RPA is based mainly on certain norms it shall follow in the particular circumstances. We’ll tell you the best part. These are machine learning and deep-learning that can adapt to the environment or situation. Although advanced AI is not a common feature in RPA products, this trend is changing. Advanced AI in RPA can include image recognition and text analysis.
Another difference between RPA (and AI) is their emphasis. RPA can be used when a process can be defined. RPA automates repetitive steps with established rules. It often involves working with multiple IT systems.
Process discovery workshops are required for RPA implementations. They allow you to map the current process as it is and record it in the process specification document. AI, on the other hand, is all about quality data.
Also read: Best Robotics Process Automation (RPA) Tools 2021
RPA and AI are useful tools that you can use to improve the company’s technological stance.
Whether you choose to incorporate RPA or AI (or both), depends on your use case. It is important to ensure that it is sustainable over the long-term. RPA has been reported by many businesses as having “low hanging fruit”, fast adoption and time to market (usually within weeks or months), low cost and complexity, and other.
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