Data Science Talk: Legacy brand in digital transition. From data as byproduct to data as business foundation

Date: April 30,  2018
Author: lucr
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On May 4th, the Data Science & Society Lab will host another appointment with the Data Science Talks. This month, digital specialist Mads Daniel Christensen and Research Manager Bent Steeg Larsen, from Politiken, will talk about introducing and organizing data as a central basis for decision-making in a 130-year-old company that.

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How to walk the thin line between algorithms and management.

Date: March 26,  2018
Author: lucr
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On April 6th the Data Science & Society Lab will host a new Data Science Talk. Kristian Vingaard Petersen, senior consultant at NetCompany will present his insights on: How to walk the thin line between algorithms and management. By now, everybody knows the new buzzwords around Data Science. A lot of companies and.

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DataScience Talks: The Art of Marrying Probability and Logic

Date: February 22,  2018
Author: lucr
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Hypefactors processes millions of media articles each day from a wide-range of sources all across the world. To do that, and to be the best at that, we're moving into the next leap of AI and experiment what's beyond machine learning. What does it take to go there? What do.

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Big Data and Machine Learning in the utility sector in Denmark

Date: January 31,  2018
Author: lucr
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Every year, billion DKK investments are made in the utility infrastructure in Denmark. A lot of the investments are made based on theoretical average lifespan of the components such as pipes, pumps, valves, etc. However with the increasing access to sensor data, smart meters, realtime weather forecast, etc., Danish utilities.

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Forecasting techniques in Maersk Tankers.

Date: November 07,  2017
Author: lucr
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Abstract: The tanker industry is an old industry with very strong traditions. This also means that there is a fair amount of conservatism in the industry and there is therefore ample opportunity to revolutionize the industry e.g. by incorporating advanced analytics into the daily workflow of the frontline units. Maersk Tankers.

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