Robotic Process Automation

• Robotic process automation (or RPA) is an emerging form of business process automation technology based on the notion of software robots or artificial intelligence(AI) workers.
• Robotic process automation (RPA) is the use of software with artificial intelligence (AI)and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform. These tasks can include queries, calculations and maintenance of records and transactions.
• RPA technology, sometimes called a software robot or bot,mimics a human worker, logging into applications, entering data, calculating and completing tasks, and logging out.

• As a form of automation, the same concept has been around for a long time in the form of screenscraping but RPA is considered to be a significant technological evolution of this technique in the sense that new software platforms are emerging which are sufficiently mature, resilient, scalable and reliable to make this approach viable for use in large enterprises.

• 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.

• Implementation of RPA in business enterprises has shown dramatic cost savings when compared to traditional non-RPA solutions.

     Benefits of RPA:

    Enabling better customer service

• Ensuring business operations and processes comply with regulations and standards.

• Allowing processes to be completed much more rapidly.

• Providing improved efficiency by digitizing and auditing process data.

      

       

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