Robotic ProcessAutomation (RPA) is allowing businesses to automate certain mundane tasks and business
processes with the aid of machine learning algorithms and robotics. The way it
works is that computer software or a robot can watch the way employees interact
with a GUI and later emulate these actions in an automated process.
There are clear advantages
of this approach and many CIOs are jumping on the bandwagon and implementing
RPA in their companies’ workflows. For one, robots can always be on and do not
need to leave the office or sleep. For two, they are much more cost effective
and can perform tasks over a long period of time.
What is very interesting
about this process is how far robots, or robotic software, have gone. Today,
they can move files and folders around, copy and paste files, fill out forms,
run applications and extract both structured and semi-structured data.
These are just some
examples of what RPA is capable of today and it will only keep improving. There
are also many industries it is being utilized in. For instance, the insurance
industry is starting to leverage it for various tasks.
RPA can be used for
insurance fraud detection and risk assessment by analyzing data in order to
predict outcomes. Alternatively, it can also be used to guide the development
of new products, detect risks, conduct damage assessment or identify billing
anomalies.
This is just one industry
where RPA is making its mark, but one of many; other examples include banks and
retail. It is also being often seen as a stop gap to full-on intelligent
automation (IA), where robots make actual judgement calls. There is already a
lot of murkiness in terms of how much machine learning can be implemented to
still be called RPA vs intelligent automation.
RPA is also said to work
alongside other technologies the best and needing some form of monitoring by IT
and business. It can automate certain tasks and reduce companies' overheard.
Thus, for now, we should not worry about it taking too many jobs away, but
create new ones or new opportunities for companies in order for them to focus
on their innovations and creativity.
Although I also do
understand the controversy of machine learning, automation, robotics and
implementations of processes such as RPA. The reason being is it may force
certain sectors, such as telecommunications, to rely almost exclusively on
robots and drive the employees in that industry out or force them learn new
skills and get more training. This, however, is a fact of technological innovation
and evolution and has been taking place since the industrial revolution if not
earlier.
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companies worldwide. We are one of the largest software outsourcing companies
in Vietnam with 2,400 engineers. Our engineering team was selected from a large
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