Faculty of Economics, Administrative and Social Sciences - iisbf@gelisim.edu.tr
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 Faculty of Economics, Administrative and Social Sciences - iisbf@gelisim.edu.tr

International Trade And Business








 Is my colleague the RD-240 lying to me?


Year 2035, I asked my colleague RD-240 how I can evaluate the idle cash resources of my company, of which I am the finance manager. He told me to choose technology companies as investment advice. It's not that I don't miss his strange behavior these days. Is the RD-240 giving investment advice in its field to further robot dominance?


It is not known whether this story may be true, but it is clear that Artificial Intelligence (AI) and Robots have entered the business life today, and it seems certain that they will be in our lives more in the coming years. Finance and accounting are the leading areas where robots are used effectively in business life. Automation and other technologies, especially Artificial Intelligence (AI), are revolutionizing finance and accounting, and those working in the field need to be prepared for what comes next. Robots are adept at doing the same, repetitive tasks. They're faster than humans, they don't make mistakes, they don't have vacations, and they're cheap. They make things much easier, enable cost-effective management, and increase productivity. They are used extensively in the accounting units of businesses. For example, accounting records of an e-invoice sent to an enterprise's electronic accounting system are immediately created, archived and reported with the simplicity of a click. The number of algorithms that operate in the financial markets is also substantial. They trade, give investment advice, miss orders, realize profits, or avoid risk.
 
So what will we humans do? After all, it is the people who create the robot algorithms, the people who are experts, and it is they who maintain it. In order to adapt and use robot systems in our lives, we need to be experts in our field. In addition, it will still be the job of experts to analyze and interpret the outputs of the algorithms and to combine them with intuition (which robots still cannot do) to make the right decisions. So, we will train ourselves to learn these systems and will be good colleagues with them in the future.

Asst. Prof. Orhan ÖZAYDIN