More and more CIOs are turning to process automation via robots to eliminate tedious tasks, streamline operations and reduce costs. A good way also to allow employees to focus on real value-added work. Others see RPA as a transitional solution to intelligent automation, the fruit of artificial intelligence, through Machine Learning tools, which can be trained to judge future results.

In a typical process automation approach, a computer developer writes a computer program that performs a number of tasks and interacts with the application’s programming interface. In one approach, automation of robotic processes, the system learns the list of tasks to be automated by observing the behavior of human users.

Automation of robotic processes is used in companies to automate tasks such as validating the sale of insurance premiums, paying health insurance claims or generating utility bills and more.

RPA makes it possible for organizations to reduce staff costs and human errors. Especially if the bots are inexpensive and easy to implement. And requiring little integration. In fact, such features are crucial to limiting costs. Companies can also scale up their automation efforts by injecting APR into cognitive technologies such as ML, speech recognition, and natural language processing. This is done by automating higher-level tasks that previously required human expertise.

According to Gartner’s barometer, revenue from robotic automation tools grew by 63.1% in 2018 to $ 846 million, making it the segment of the global enterprise software market that is experiencing the strongest growth. Gartner expects revenue from RPA tools to reach $ 1.3 billion in 2019.

Source : Gartner

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