Today, most large industrial companies create analytical teams whose goal is to apply modern methods of artificial intelligence to increase the efficiency of their production. However, experience has shown that the introduction of similar methods in manufacturing companies often brings completely different challenges than for example in the case of their use in financial companies. In addition to the necessary investments in infrastructure and software, it is often necessary to change the company's "philosophy". Despite the complexity of this process, many manufacturing companies are already successfully using artificial intelligence for more efficient management and are thus better prepared for the so-called fourth industrial revolution. In this paper, we will show examples of such companies and look at the common factors that helped the successful implementation of AI into real production.
Sign in to Autumn ITAPA 2024
Ivan Kasanický
Ivan Kasanický has obtained his doctoral degree in Probability and Mathematical Statistics from Charles University in Prague. During his career, he worked within the Czech Academy of Sciences where he modeled traffic flow, household energy consumption, and created prediction models for electricity produced from renewable sources. Also, he was one of the organizer of Modelling Smart Grids conference, which takes place in Prague every year. Later he joined a startup company in Austria as a Head of Data Science, and was developing models for new urban mobility, e.g., parking spots occupancies, or finding out how long would a car-sharing car wait for the next driver. Today, he is a Data Scientist at SAS company, where he is looking for ways …
See more info about the speaker