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To robotize or not to robotize?

Updated: Jun 29, 2018

That is the question: whether it is nobler in the mind to suffer against the "status quo", or to take the initiative to start bringing these robots to life, and by opposing end them?

RPA (Robotics Process Automation) technology is primarily used to reduce the burden of repetitive, standard, and simple or mundane tasks. In the olden days, they are called software macro’s. While they sound intimidating, they are actually here to help our jobs run faster, easier, and error-free (if programmed properly). Unfortunately, when we hear about robots, the picture of the Terminator is often what we see. Combine this with people fearing to lose their jobs with robots, then you have a perfect recipe for a perfect pushback and lack of adaption.

As digitalization enters mainstream, the need for new breed of professionals is at the horizon. However, most of us neglect and even contradicts it, instead of embracing it. Yes, mundane and repetitive-boring tasks will slowly be outsourced to robots so we can re-purpose valuable human talents to do what they do best; think and analyze. The more we dedicate time on more strategic functions such as analysis and strategy building, the better the world will be.


A lot of companies now are incorporating Information Analytics or the practice of iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis in their environment. Business analytics is used nowadays by companies committed to data-driven decision-making. More and more professionals will be required to do this type of work in the next 5 years. So, the people who used to do the mundane and monotonous tasks can now focus more on analytics which is at a higher sphere in terms of value to the business chain.

The next thinking robots


When you combine RPA with analytics you get Artificial Intelligence. AI emphasizes on the creation of intelligent machines that work and react like humans, but are flawless and error-proof. This is done thru machine learning and process heuristics technologies.


To robotize or not to robotize is a question most people would have at this point. But as robots enter the mainstream, you either jump on the bandwagon or be run-off by it. Then maybe, the next generation question that we need to be more worried about is, “Whether to think or not to think?” as:

The world is evolving from, “telling machines what todo, to machines telling us what to do”.


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