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UID:192-1525446000-1525449600@dsslab.itu.dk
SUMMARY:Data Science Talk: Legacy brand in digital transition. From data as byproduct to data as business foundation
DESCRIPTION: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 must adjust to a highly competitive digital and globalized media market. \nFortunately\, there are many interesting and relevant data. But it requires specialists to make them available and operationalizable to the organization. At the same time\, data must work in a traditional and creative context\, where data is not always considered obvious to inform journalistic processes and decisions. This makes the job challenging\, in a good way. \n  \nFriday\, May 4th\nkl. 15:00 – 16:00\nAuditorium 4 – IT University of Copenhagen
URL:https://dsslab.itu.dk/event/data-science-talk-legacy-brand-in-digital-transition-from-data-as-byproduct-to-data-as-business-foundation/
LOCATION:Auditorium 4
ATTACH;FMTTYPE=image/jpeg:https://dsslab.itu.dk/wp-content/uploads/sites/49/2018/04/old-black-typewriter.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20180406T150000
DTEND;TZID=Europe/Paris:20180406T160000
DTSTAMP:20260514T000053
CREATED:20180326T084358Z
LAST-MODIFIED:20180326T084358Z
UID:183-1523026800-1523030400@dsslab.itu.dk
SUMMARY:How to walk the thin line between algorithms and management.
DESCRIPTION: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. \nBy now\, everybody knows the new buzzwords around Data Science.\nA lot of companies and organizations want to use it\, but how can Data Science be communicated in a way that management want to invest in it\, and how can it be facilitated. \nMany aspects of working within the field of Data Science revolves around formulating\, facilitating and presenting Data Science for stakeholder with limited to none experience within the field. Before any project can begin\, management and the stakeholders want to understand the use cases\, gains\, implications etc. for a Data Science project\, and this needs to be handled in a way that they understand.\nThis lab will through different real life Data Science (Machine Learning) cases from Netcompany\, show examples on how to communicate and present Data Science for thereby to become a 360° Data Scientist. \n  \nFriday\, April 6th\nkl. 15:00 – 16:00\nDesign Lab – IT University of Copenhagen
URL:https://dsslab.itu.dk/event/how-to-walk-the-thin-line-between-algorithms-and-management/
LOCATION:Design Lab ITU\, Rued Langgaards Vej 7 \, København S \, 2300\, Denmark
ATTACH;FMTTYPE=image/jpeg:https://dsslab.itu.dk/wp-content/uploads/sites/49/2018/03/6704667927_992207ef50_b.jpg
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BEGIN:VEVENT
DTSTART;TZID=UTC:20180302T150000
DTEND;TZID=UTC:20180302T160000
DTSTAMP:20260514T000053
CREATED:20180222T112615Z
LAST-MODIFIED:20180222T112615Z
UID:158-1520002800-1520006400@dsslab.itu.dk
SUMMARY:DataScience Talks: The Art of Marrying Probability and Logic
DESCRIPTION:Hypefactors processes millions of media articles each day from\na wide-range of sources all across the world. To do that\, and to be the\nbest at that\, we’re moving into the next leap of AI and experiment what’s\nbeyond machine learning. What does it take to go there? What do you\nneed to know? \nCome and find out more! Friday March 2nd\, 15:00 Auditorium 3
URL:https://dsslab.itu.dk/event/datascience-talks-the-art-of-marrying-probability-and-logic/
LOCATION:Auditorium 3
ATTACH;FMTTYPE=image/png:https://dsslab.itu.dk/wp-content/uploads/sites/49/2018/02/streams_in_com.png
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BEGIN:VEVENT
DTSTART;TZID=UTC:20180216T150000
DTEND;TZID=UTC:20180216T160000
DTSTAMP:20260514T000053
CREATED:20180131T083324Z
LAST-MODIFIED:20180131T083906Z
UID:148-1518793200-1518796800@dsslab.itu.dk
SUMMARY:Big Data and Machine Learning in the utility sector in Denmark
DESCRIPTION: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 are looking at new technologies to make smarter investments.  \nIn Orbicon Informatik\, we are currently doing a number of projects with some of the largest water and district heating utility companies in Denmark where we use sensor data\, demographic data\, geological data\, meter data\, etc. to predictive the performance and condition of the physical infrastructure (such as pipes\, pumps\, valves\, etc.). As a result we see companies transition from time-based maintenance to predictive maintenance models and becoming much more data-driven and effective. \nThe presentation give some insights to how a conservative industry (such as the utility sector) can leverage new technologies (such as Big Data Analytics) to transition into more data-driven business models. \nSpeaker: Anders Tvegaard – Orbicon
URL:https://dsslab.itu.dk/event/big-data-and-machine-learning-in-the-utility-sector-in-denmark/
LOCATION:Design Lab ITU\, Rued Langgaards Vej 7 \, København S \, 2300\, Denmark
ATTACH;FMTTYPE=image/jpeg:https://dsslab.itu.dk/wp-content/uploads/sites/49/2018/01/smart-sensor.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20171208T150000
DTEND;TZID=Europe/Paris:20171208T160000
DTSTAMP:20260514T000053
CREATED:20171107T090411Z
LAST-MODIFIED:20171123T114146Z
UID:23-1512745200-1512748800@dsslab.itu.dk
SUMMARY:Forecasting techniques in Maersk Tankers.
DESCRIPTION:Abstract:\nThe 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 is determined to continue to pioneer this area by a devoted focus on becoming a digital tanker company. There are many elements in this\, and one crucial element is revisiting all commercial decision and attempt to make them more data driven – on all levels in the organization. \nIn this presentation Christian Schultz\, Data Scientist at Maersk Tankers\, will give a brief presentation of the existing forecasting techniques employed in Maersk Tankers. The forecasting is primarily done by an ensemble model consisting of Gaussian Processes\, Elastic Nets and Support Vector Regression. Furthermore some of the interesting projects in the pipeline will be discussed\, among others the effort to build an Automated Cargo Identification System and the Automatic Voyage Predictor Model based on highly detailed historical vessel positions from the global tanker fleet. \nSpeaker:\nChristian Schultz has a PhD in astrophysics from Aarhus University. After graduation he has worked in Danske Bank developing property valuation models and as a data scientist in Maersk Tankers.
URL:https://dsslab.itu.dk/event/datascience-talk/
LOCATION:Design Lab ITU\, Rued Langgaards Vej 7 \, København S \, 2300\, Denmark
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