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Overview
Know-Center is Austria's leading research centre for data-driven business and big data analytics. As a connecting link between science and industry, Know-Center conducts application-oriented research in cooperation with other academic institutions and with companies. Within Know-Center, we pursue a wider perspective and approach data driven business as a cognitive computing challenge. Our scientific strategy is to integrate approaches from (big) data analytics with human-centred computing to create cognitive computing systems that will enable humans to utilise massive amounts of data. Therefore, our motto is “from data to intelligence”. Know Center is recognized Big Data European Innovation Space by the Big Data Value Association. Our data-driven methods and technologies contribute to value creation and benefits for customers in a sustainable way among various industries and use cases. Through our Cognitive Computing-based approach, which combines the strength of man and machine (=software), we are setting standards within both the local and the international research community. The best example for this is the area “Industry 4.0” (also known as “Smart Production”) where our approach makes companies more successful. Here, for instance, our Cognitive Computing Systems consist of integrated sensors in the production facilities, intelligent algorithms for data analysis and interactive systems that allow users to derive action-relevant knowledge and work more efficiently. Our customers benefit from this specific know-how in the form of competitive advantages and innovations directly at the value-creation chain. To support Austrian industry using Big Data methods and tools we established the Big Data Lab. The Big Data Lab is Austria’s first point of contact for all questions around Big Data Analytics and Big Data Management. The Big Data Lab enables companies to quickly and efficiently test data-driven methods as well as to assess the potential and possibilities for a data-driven business. Our offer includes consultations, data analysis and trainings. Digital technologies.