Hyperautomation vs. Robotic Process Automation (RPA)

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Aklima@41
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Hyperautomation vs. Robotic Process Automation (RPA)

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Imagine: You are working in a kitchen, preparing an exquisite meal, and you have two options for assistance. You must choose between a robotic assistant and an experienced human sous chef. The robot can follow predefined tasks, while the human assistant can adapt and adjust to your preferences. In this case, robotic process automation (RPA) is your robotic assistant, and hyperautomation is your human sous chef.

Analogies aside, what are the differences between these two automation solutions? In this article, we will cover the following points:

Defining Robotic Process Automation (RPA)
The role of intelligent automation
Definition of Hyperautomation
The differences between RPA and hyperautomation
The Benefits of Hyperautomation
How to Implement Hyperautomation
Defining Robotic Process Automation
According to Gartner Robotic process automation insurance email list is a non-invasive integration technology used to automate routine, repetitive, and predictable tasks through orchestrated user interface interactions that mimic human actions. There are also two distinct classes of RPA : Attended and Unattended.

Assisted: Robots are deployed at each office portal where the human worker performs specific activities while the robot takes care of the more complex and repetitive aspects.
Unattended: A centralized, managed server deployed bots via programming to automate workflows.

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RPA vs Hyperautomation Using the Sous Chef Analogy

Back in the kitchen, RPA can efficiently handle repetitive and mundane tasks. Much like a robotic chef, RPA performs tasks exactly as programmed. It can chop vegetables, mix ingredients, and even handle basic cooking processes, saving you time and effort. Now that RPA takes care of the smaller tasks and processes, you have more time to work on more complex culinary projects.

How does intelligent automation (AI) play a role?
RPA is designed to manage and automate rule-based and repetitive processes. Then, AI augments the technological capability by adding artificial intelligence, machine learning, natural language processing, intelligent document processing, and structured data interaction. AI mimics human intelligence; therefore, it can integrate analysis, reasoning, judgment, and decision-making.
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