Robotic Process Automation
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Robotic Process Automation (RPA) is a technology enabling business process automation through software robots that mimic user interactions within graphical user interfaces. RPA can enhance operational efficiency and reduce costs but may also introduce risks related to innovation and software complexity. The relationship between RPA and AI is debated, with differing opinions on whether RPA can be classified as artificial intelligence.
Robotic Process Automation
- 1. Robotic Process Automation • What Is RPA? Robotic process automation (RPA) is a form of business process automation technology based on metaphorical software robots (bots) or on artificial intelligence (AI)/digital workers. It is sometimes referred to as software robotics (not to be confused with robot software). In traditional workflow automation tools, a software developer produces a list of actions to automate a task and interface to the back-end system using internal application programming interfaces (APIs) or dedicated scripting language. In contrast, RPA systems develop the action list by watching the user perform that task in the application's graphical user interface (GUI), and then perform the automation by repeating those tasks directly in the GUI. This can lower the barrier to use of automation in products that might not otherwise feature APIs for this purpose.
- 2. Quantify your automation benefits in real time • Eagle Insight connects people in your business with software robots i.e. bots by bringing operational analytics, business intelligence and support metrics on a single platform. We gather everything you need to know about your RPA in an intelligible way so you can get rid of everything unwanted and add on what’s actually needed. RPA actual use The hosting of RPA services also aligns with the metaphor of a software robot, with each robotic instance having its own virtual workstation, much like a human worker. The robot uses keyboard and mouse controls to take actions and execute automations. Normally all of these actions take place in a virtual environment and not on screen; the robot does not need a physical screen to operate, rather it interprets the screen display electronically. The scalability of modern solutions based on architectures such as these owes much to the advent of virtualization technology, without which the scalability of large deployments would be limited by available capacity to manage physical hardware and by the associated costs. The implementation of RPA in business enterprises has shown dramatic cost savings when compared to traditional non-RPA solutions. There are however several risks with RPA. Criticism include risks of stifling innovation and creating a more complex maintenance environment of existing software that now needs to consider the use of graphical user interfaces in a way they weren't intended to be used.
- 3. • Banking and finance process automation • Mortgage and lending processes • Customer care automation • eCommerce merchandising operations • Optical character recognition applications • Data extraction process • Fixed automation process How AI and RPA relate Even as more enterprises tap into RPA, there’s some disagreement on the basic relationship between AI and RPA. As our research report “Executive’s guide to real- world AI,” produced by Harvard Business Review Analytics, notes: “Some question whether RPA qualifies as AI.”