News

Scientists are developing a tool that can predict companies' risk of bankruptcy. In the case of a series of replacements of a company's board, management and auditors, or if a company changes sector several times over a short period of time, it could be an indication of problems with the economy or an attempt to circumvent the rules.
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Systematic had invited 10-12 PhD students in DABAI for a joint network event. According to Systematic, it is crucial to participate in a project such as DABAI, where you can work closely together with research groups at the Danish universities and try out some ideas. Ideas that should ideally turn into a business.
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Researchers are developing a system that can detect whether a student has written his thesis himself or has had another student write it for him. For each busload of newly graduated students who are filling the Danish streets these days, an average of one student has cheated on his exam. Read more (in Danish)
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The learning portals Matematikfessor, Lectio and Clio Online collaborate with researchers in DABAI to use data in our education system. They use machine learning to predict drop-out rates from high schools and to adapt tasks to the students’ individual levels. Professor Stephen Alstrup, Dept. of Computer Science, Copenhagen University explains in more detail in this video from the DABAI annual conference in March 2017.
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Positioning in hospitals, adaptive teaching and data processing in the meat processing industry are examples of cases in the Danish Center for Big Data Analytics and Innovation – DABAI. Hear the reasons why Danish Crown, Systematic and EduLab participate in DABAI (in Danish).
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As part of the MADE project, Jakob Langdal Jensen from the Alexandra Institute works with Grundfos on some of the technologies that enable the fourth industrial revolution.

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Positioning in hospitals, adaptive instruction and data processing in the butchery industry were examples of cases presented at the kickoff meeting for DABAI on 27 May 2016.
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