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How to find order in chaos? As a result, a new quality was born. A center of competence, combining scientific research with hands-on experience in data analysis and interpretation. Whenever traditional methods fail, for us it’s just a warm-up. We know how to coach people in any area where their actions are measured and goals are defined.
Apart from all that, we also maintain a competition platform, that helps us bring into light the best of the best in the data mining world. In his early academic career, he worked as Teaching Assistant at Polish-Japanese Institute of Information Technology. D initiatives, in the fields of Artificial Intelligence, Machine Learning and Big Data. In 1999, he co-founded QED Software with the aim of developing new, easy-to-interpret Data Exploration methods.
Dominik co-authored over 200 scientific articles and he is co-inventor in six US patents. He organized over 20 conferences in Europe, Asia and both Americas. ACM Conference on Web Intelligence in 2015. An enthusiast of artificial intelligence and experienced IT manager. Wrote his first games in mid ’80s on his ZX Spectrum microcomputer.
A player of Bridge, Go, RPG, logic and tabletop games as well as some video games. Former president of the Polish Go Association and academic teacher. Studied Computer Science and Psychology at Warsaw University and Software Engineering at Warsaw University of Technology. Twenty years of experience in managing development, implementation and support of workflow systems. Acted as IT system architect, data scientist, business analyst, project manager and project supervisor. Various roles in IT projects for well-known organizations. In spare time: traveling, horse riding, sailing, hacking.
An agile manager, with extensive experience in software development projects, both for private sector and for public administration. Andrzej Skowron is currently a Full Professor in the Faculty of Mathematics, Computer Science and Mechanics at the University of Warsaw, Poland. He is also a professor at the System Research Institute, Polish Academy of Sciences. Andrzej is one of Poland’s most eminent scientists in the realm of intelligent methods in Computer Science, Machine Learning and Artificial Intelligence. His seminal works in the areas of soft computing, reasoning with incomplete information, approximate reasoning, rough sets, granular computing, synthesis, knowledge discovery systems and advanced data mining have gained him a worldwide recognition. Throughout his long and fruitful career Andrzej worked as a researcher and scholar in institutions and companies in several countries, in particular Poland, Sweden, Italy and the US. He was involved in several national and international research and commercial projects related to, e.
Forex prediction, and approximate reasoning in distributed environments. Having supervised over 20 PhD Thesis and 100 Master Thesis Andrzej is a father figure for a whole generation of Computer Science researchers and practitioners in Poland. He is a proper geek, who loves computer science, fast cars and playing electric guitar after hours. Naturally, he like playing games, but he was always more interested in how they are made and all technicalities that come with them.