There are multiple tasks of the business which allowed by RPA for automating the process of business with the help of algorithms of machine learning 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.
Other automation tools exist within companies and existed before RPA, but the use of RPA can leverage these other tools instead of competing with them, according to Uni paths explanation of the process.
RPA is also nonintrusive in nature and leverages the existing infrastructure without causing disruption to underlying systems, which would be difficult and costly to replace. With RPA, cost efficiency and compliance are no longer an operating cost but a byproduct of the automation.
It is also very scalable with minimal upfront investments.
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 semistructured 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.
According to a report from PropetyCasualty360, 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 the many other examples include banks and retail. It is also being often seen as a stop gap to full-on intelligent automation, where robots make actual judgment 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.
According to a report from igrafx.com about latest trends to look forward to this year related to RPA, RPAs usefulness comes in most clearly when it is leveraged with other technologies. It is also said to be moving into mainstream although two years behind AI.
Now is a great time to learn about implementations of RPA within a company's automation process and Softomotive, a company specializing in RPA solutions, has recently launched an academy teaching its processes called RPA Academy.
According to Softomotives press release, RPA Academy is an online learning portal offering comprehensive training in the company's RPA solutions and is free of charge. You can access it here.
The e-learning platform provides everyone, including partners and customers, with an intuitive web-based interface that is accessible from any device (including mobile). Once logged in, learners can discover a rich catalog of video-based tutorials that support on-demand and self-paced learning on Attended and Unattended Automation.
In this controversy is also discussed in how safe robots are today working alongside humans because it has been reported that a German auto plant worker died as a result of working alongside robots. Although these were actual physical robotics and not just software, on which RPA is mostly based on. It is also mentioned how such incidents, just like driverless cars having accidents, are an exception rather than the norm where humans can and do make many if not more of the same fallacies.
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 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 to 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.