Introduction :
More CIOs are turning to an emerging technology practice called robotic process automation (RPA) to streamline enterprise operations and reduce costs. Others see RPA as a stopgap en route to intelligent automation (IA) via machine learning (ML) and artificial intelligence (AI) tools, which can be trained to make judgments about future outputs
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What is robotic process automation?
RPA scenarios range from something as simple as generating an automatic response to an email to deploying thousands of bots, each programmed to automate jobs in an ERP system. [ RPA Training institute in chennai @Dataz ]
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What are the benefits of RPA?
RPA provides organizations with the ability to reduce staffing costs and human error. David Schatsky, a managing director at Deloitte LP, points to a bank’s experience with implementing RPA. In which the bank redesigned its claims process by deploying 85 bots to run 13 processes, handling 1.5 million requests per year. Bots are typically low-cost and easy to implement, requiring no custom software or deep systems integration. Schatsky says such characteristics are crucial as organizations pursue growth without adding significant expenditures or friction among workers. [ RPA Training institute in chennai @Dataz ]
Enterprises can also supercharge their automation efforts by injecting RPA with cognitive technologies such as ML, speech recognition, and natural language processing, automating higher-order tasks that in the past required the perceptual and judgment capabilities of humans.
Such RPA implementations, in which upwards of 15 to 20 steps may be automated, are part of a value chain known as intelligent automation (IA), Viadro says. [ RPA Training institute in chennai @Dataz ]
For a deeper look at the benefits of RPA, see “Why bots are poised to disrupt the enterprise” and “Robotic process automation is a killer app for cognitive computing.”
What are the pitfalls of RPA?
RPA isn’t for every enterprise. As with any automation technology, RPA has the potential to eliminate jobs, which presents CIOs with challenges managing talent.
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Even if CIOs navigate the human capital conundrum, RPA implementations fail more often than not.
Moreover, a new regulation requiring minor changes to an application form could throw off months of work in the back office on a bot that’s nearing completion.
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Moreover, the economic outcomes of RPA implementations are far from assured. While it may be possible to automate 30 percent of tasks for the majority of occupations, it doesn’t neatly translate into a 30 percent cost reduction, Edlich and Sohoni say.
To ensure a smooth shift to RPA, see “8 keys to a successful RPA implementation.”
