RPA vs Intelligent Automation vs Hyperautomation There have been quite a huge number of options when it comes to choosing automation software. There are plenty of terms introduced in the market which are developed by analysts, software vendors, and solution integrators as they try to provide their own spin on the market. In this blog, we have discussed the major differences between Robotic Process Automation (RPA), Automation, and Hyperautomation.
Robotic Process Automation (RPA) RPA makes use of robots or bots which is defined as software agents that would interact with applications just like a person could. Without defining specific programming interfaces, a process analyst could define which parts of an application a process used and then train the robot to submit the changes according to a set of rules.
The application could be based on Windows applications, web pages, mainframe applications, Java apps, or even home-growth applications that were written via top-notch technology platforms.
RPA These bots follow rules to interact with any of these applications, either simple rules such as creating reports and mailing them or other complex rules that involved many steps.
These steps might include evaluating specific fields in the application and then following those rules such as checking the balance of the inventory, etc. If it is less than a certain amount, issue a warning email, otherwise process the transaction, and initiate the transfer to the location listed on the purchase order. This technology acts as a foundation layer upon which Intelligent Automation and Hyperautomation are built. These concepts usually require the RPA platform to allow interaction with the applications and without programming the interactions.
Without RPA, automating communication would require many new connectors to enable Artificial Intelligence to grab the data from and initiate actions to the various corporate systems that contain the information required for processing.
Intelligent Automation Intelligent Automation also referred to as Cognitive Automation links Artificial Intelligence with the interactive capabilities of Robotic Process Automation. A couple of concepts that IA links together are thinking and doing. RPA is great at doing and has several capabilities to manage works through rules, but there are some aspects of executing work that requires thinking before action can happen.
Some of this thinking work involves reading documents, using Character Optical Recognition (OCR) to collect the data into a form that computers can make use of! Then Intelligent Document Processing (IDP) can be used to understand the document type so it can be processed appropriately. For instance, any business which has been engaged in processing invoices will tell you that nearly every company has their own format for sending an invoice to their customers.
Depending on the number of invoices, this might require a large number of resources within the organization to keep up with the volume. By building IA to read and understand the documents using IDP then processing the results appropriately with RPA, the solution can eliminate the amount that people are engaged in manual efforts such as typing information into the system. In addition to invoice processing, Intelligent Automation can also be used for engaging Natural Language Processing (NLP) platform, an automated process that can read emails that provide insights into questions being asked to support team or to a chatbot that is allowing customers to interact in real-time with the company.
HyperAutomation Finally, when speaking about Hyperautomation, it possesses the concept of Intelligent Automation and extends it to include additional applications. RPA when combined with Business Process Management (BPM) tools, AI, and Analytics are integrated to create a workflow processing framework that enables decision-making and analysis towards AI algorithms while capturing data on the operations of the business.
Wrap Up With the advancement of technologies in the market, clearly Robotic Process Automation, Intelligent Automation, and Hyperautomation will continue to exist since better AI engines support decision-making within the operations of the company. Initiating might be a difficult task but implementing them in your organization can build various layers. Being one of the RPA Companies, we help businesses in making them true.
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