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Robotic Process Automation
Technology has replaced and restored many old ways of communication, transportation, and way of doing things. So much so that now, technology is all set to take over human workforce also. No, it's not exaggeration. It is near future. By employing software, based on artificial intelligence using machine learning, all the redundant tasks like keeping records, performing basic calculations and innate transactions, can be made human free.
The technology that works to robotize the jobs which require humans is called as Robotic Process Automation. Robotic Process Automation can be very convincingly labeled as 'the driver of the future'. RPA aims at automating the processed which are otherwise carried out by humans in a business. The machines (or the software) are designed in such a way that they are capable of interpreting the message and manipulate the data in the required way.
Process automation has always been a part of many organizations, reducing the job of employees and making machine operation independent has always been one of the many functions of Business Process Management. Robotic Process Automation takes it to another level, Robotic Automation makes the machines smart, and enables them to gather, calculate, report and sometimes manipulate data thus reducing human interference by automating problem understanding and decision making.
What is RPA?
RPA is the process of enabling a system to function in the same way as it would function with human logic without actually employing any human. It is a derived from three technologies, namely: workflow automation, screen scaping and artificial intelligence. Huge and complex but rule-based processes are tailored and automated with RPA.
Where is RPA used?
RPA sits at the top of all processes; it synchronizes all the processes together and generates results which are overwhelming. RPS is employed in almost all the phases of business processes.
Front-end operations: RPA finds its appl
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StaffTimerApp is a Time Tracking software. It is compatible with Windows, Mac and Linux. This application uses Screenshots to track time. The screenshots are captured after every interval. The application then sorts the screenshots using Artificial Intelligence and Machine Learning. With the sorting and statistical analysis, reports containing billable and nonbillable hours are generated.
In the end, the user gets extensive reports for all the work done on his projects by his employees.