Here comes a summary of the interview with our associate Ottó Werschitz in the Computer World magazine. You can read the text of the full interview in Hungarian here.
We tend to think of robots as automated machines carrying out repetitive tasks in manufacturing plants. In a wider sense, however, software applications that automate enterprise processes such handling incoming customer emails or routine financial tasks are also robots. These are Robotic Software Applications (RPA). Manufacturing robots or RPAs can execute their tasks by pre-programmed rules or with the help of Artificial Intelligence (AI). AI in practice is implemented by machine learning (ML) technologies which have versatile application areas in terms of industries and business functions. However, in order to built ML based applications, we need lots of data which we train these ML systems with, so industries and enterprises with lots of available data are in a better position to use AI. These industries are telecommunications, e-commerce, finance and logistics, among others. For SMEs, the opportunity to benefit from AI can be offered by solution providers which build ML applications by using data collected from various sources to tackle issues similar for most of such companies, for instance marketing automation tasks for small-sized online shops.
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