AI-generated summary
Advancements in intelligent automation are rapidly transforming various industries, extending beyond traditional manufacturing into office environments. Robots, once limited to executing fixed pre-programmed tasks, now leverage tools like Robotic Process Automation (RPA) combined with artificial intelligence and cognitive technologies to enhance productivity. This shift is redefining office work by automating routine, repetitive tasks, thus enabling employees to focus on more creative and complex problem-solving activities.
Industrial technology, traditionally associated with factory assembly lines, is evolving in the digital age where raw data replaces physical materials. RPA software automates simple, rule-based tasks such as data entry or sending emails, integrating seamlessly with business management systems. While basic RPA operates on rigid protocols, its combination with cognitive automation—incorporating machine learning—introduces flexibility and learning capabilities. This cognitive automation allows virtual robots to handle nuanced tasks like recognizing handwritten documents or correcting errors, which were previously exclusive to humans. As a result, companies can optimize their workforce by delegating mundane duties to intelligent automation, unlocking human potential for innovation and strategic thinking.
What is intelligent automation? We explain what applications it has and how it has made industrial technology evolve towards new horizons.
Advances in innovation in intelligent automation are unstoppable and occur in all sectors. Robots are no longer limited to executing certain pre-programmed patterns, but industrial technology learns with tools such as Robotic Process Automation (RPA).
By combining virtual robots with RPA software and artificial intelligence with cognitive technology modules, office work is being transformed just as it did with factories in the past. Industrial technology is increasing the productivity of white-collar jobs by moving away from monotonous and repetitive tasks, and making room for creativity.
Towards an office with industrial technology
The term “industrial technology” reminds us of assembly lines, with large robotic arms and chimney factories. However, this concept has much more to do with making
Raw data has replaced physical raw materials, and their processing has replaced items such as nuts and bolts. RPA-based virtual robots process a continuous tape of information, and many assemble useful knowledge for businesses. But what exactly is RPA?
This is Robotic Process Automation (RPA)
RPA is a type of software that is easy to program (often modular, no-code, and affordable even if you’ve never thrown away a line of code before) that allows you to automate basic, simple, and repetitive tasks. For example, copying cells between databases, composing automated invoices or sending email marketing.
In traditional RPA (the one that does not have machine learning), processes are automated with very rigid rules. They are similar to macros or traditional programming: the robot clicks in one place on the screen, then in another, and finally in a third.
There’s no room for improvisation, so don’t expect much initiative from them. But even so, the truth is that RPA is useful in many work environments. Like the first robotic arms, which were programmed to make repetitive movements, robotic process automation integrates well with systems such as SAP – or any other type of business management software – databases or APIs. They are basic, but versatile.
Cognitive automation, helping RPA
However, when RPA is combined with cognitive automation – the latter does apply machine learning to automate processes that require manual work – we find something much more interesting: RPA is no longer limited to repeating the tasks for which it was originally programmed. Learn, and that changes everything.
Combined with these autonomous learning techniques, RPA gains flexibility and largely avoids having to be supervised by a person who supervises its processes. Going back to the analogy with the robotic arm: now software is capable of doing many more things and managing unforeseen tasks.
An example of cognitive automation involves making use of machine learning-based image recognition tools to digitize papers handwritten by different people.
The key to cognitive automation is that it automates tasks previously reserved only for humans. Cognitive skills, such as noticing that there is a typo in a document and correcting it by entering it into a database, are now also a matter of virtual machines.
This innovation in industrial office technology allows companies to free up a large part oftheir workers’ time, who can dedicate their potential to tasks that require more human skills such as creativity or solving complex problems.
