Technological advances: the differences between RPA, AI and Machine Learning

4 minutes to read

The importance of technological advances can be easily seen in increasing the efficiency of processes and reducing costs. They occur in parallel with a large increase in productivity, resulting from automation, the reduction of errors and rework.

In addition, new technologies are incorporated across society, which increases the demand for them. Customers and suppliers are increasingly adapted and need these resources to innovate, evolve and monitor the digital transformation process.

From this point of view, they are fundamental to structure business for a new market reality: that of the new Industrial Revolution. Therefore, you cannot help but find out about the topic. Check it out!

What is robotic process automation (RPA)?

The acronym RPA is derived from the English term: “Robotic Process Automation”, which is defined as a technology capable of automating different procedures, even in legacy systems. It is software capable, for example, of automatically logging the user into a system when he turns on a computer; launch records available in contracts digitized in an ERP or other application; and so on.

The great advantage of RPA is, therefore, the possibility of streamlining diverse processes and tasks, even when the company operates with old resources or incompatible systems. In addition, RPA software can be programmed for a temporary task, such as including or excluding specific data in a customer register, without the need to operate in the program database or develop a new functionality in the registration system.

What is Artificial Intelligence (AI)?

Much better known than RPA, AI is an elaborate resource that allows computers to operate and process information similar to the human brain. In other words, it is a simulation of our intelligence, which may even include the ability to learn.

AI is made up of advanced algorithms that interpret data and contexts to the most advanced versions, which simulate neural networks. They are used in combination with other technologies, such as RPA itself, to perform tasks that depend on decision-making.

For example, they are applied in combination with facial recognition to identify physical characteristics described in police wanted records and to locate suspects, as well as to assess the occurrence of any abnormalities on radiographs, which they can do with much greater efficiency than the human eye allows doctors.

In service, it is very efficient in contributing to the improvement of the customer experience, in data collection and in performance analysis.

What is Machine Learning?

Machine Learning is precisely the advanced version of AI that allows learning. These systems evolve when evaluating several cases in which an answer is true to; based on probabilistic calculations, determine the chances of a decision being correct. Therefore, this technology is widely used in customer service. Obviously, this is a simplified explanation, but very faithful to the process.

What is the relationship between these technological advances?

AI and Machine Learning work in a combined and complementary way with RPA. Robot software used to enter data in a register, for example, can be programmed to simply collect specific information and “type it” in another location.

However, you can also use the AI to check whether this information is correct, compare it and analyze it. If this analysis is done according to specific, predetermined criteria, it is possible to use AI, but if they change or are influenced by several unknown factors, it will be necessary to use Machine Learning, so that the software is able to learn from its analyzes and based on training carried out by specialists.

Finally, consider that these technological advances are increasingly accessible to several companies. Regardless of size or segment, it is possible to adopt them in several cases.

Do you have any questions? Would you like to make any comments or suggestions? Use the space below and comment whatever you want!

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The VMI Portal is a portal of news and information on systems of collaboration between suppliers and customers, which is growing continuously. The idea is to promote and disseminate the concepts of Supply Chain Management (SCM) and Vendor Managed Inventory (VMI), among other topics.

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