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Partner Business Unit Employee

Speaker

Prof. Dr. Chris Schlueter Langdon

Data Analytics Executive & Scientest at Deutsche Telekom IoT

T-Systems

Link List

In case you‘d like to get in touch.

  • christoph.schlueter.langdon@t-systems.com

  • Linkedin

  • dih.telekom.net/en/journal/all/smart-mobility-en

Description | Additional Information

you name it – we put it up

Chris is a professor in Data Science and Analytics; his doctorate involved Artificial Intelligence and Complex Adaptive Systems. At the Telekom Data Intelligence Hub he is a development executive responsible for mobility data space and analytics. Prior to joining Deutsche Telekom, he founded a business analytics startup, co-founded the Peter Drucker Customer Lab at Claremont Graduate University, and the Special Interest Group on Agent-based Systems of the Association for Information Systems (AIS) / “Wirtschaftsinformatik.” He began his career as a consultant with Accenture and later joined the faculty of the University of Southern California (USC) in Los Angeles. His research has been funded by Microsoft and Intel, among others; results have been published in leading publications, such as in journals of the Institute of Electrical and Electronics Engineers (IEEE), Information Systems Research and Communications of the ACM. Over the last two decades, Chris has become known for his success with data science and analytics for Fortune Global 100 clients in the US, Europe and China.

Prof. Dr. Chris Schlueter Langdon on air

A sneak peak of the agenda. Find out more on the comprehensive overview.

September 24th, 2020 – Thursday

11:20 AM (UTC)

0:10 h

From Big Data Lakes to Federated and Just-in-Time Data - the Example of Intermodal Transport

Prof. Dr. Chris Schlueter Langdon, Data Analytics Executive & Scientest at Deutsche Telekom IoT; Nadine Öhrlein, Consultant Connected Mobility, T-Systems

Inspiration Keynote

We provide a sneak preview under the hood of Telekom mobility data analytics R&D, which is currently implemented in the real lab of the Hamburger Hochbahn for the National Platform Future of Mobility in Hamburg (link), specifically the use of the International Data Spaces standards (IDS, DIN Spec 27070) for the new European GAIA-X hypercloud. The problem: There are billion-dollar opportunities in mobility, yet the big hurdle is data. Think Uber, which benefits from reusing existing assets, like other people’s cars even drivers. Uber’s capital is not tied up in cars like Car2Go/ShareNow. Instead, it is investing in data to orchestrate a service offering. A gigantic opportunity lurks in urban transport where empty seats dramatically exceed occupied ones - most commuters drive alone; many buses remain empty for long periods of the day. Derived from this, the question arises how to fill the empty seats? The solution is simple in theory: Use data to match demand with supply, like Uber … or how Google is auctioning off ad spaces. In practice it is a lot more complicated. In a nutshell: Often data doesn’t speak the right language, is not using the same metrics (think Celsius versus Fahrenheit) … and some parties don’t even talk to each other like competitors to protect the customer connection. We will briefly illustrate how there is value in intermodal mobility and how it can be released using data.

Speakers of this Session

Nadine Öhrlein

Consultant Connected Mobility

T-Systems

Prof. Dr. Chris Schlueter Langdon

Data Analytics Executive & Scientest at Deutsche Telekom IoT

T-Systems

EXPO 8 Rearview & Prof. Dr. Chris Schlueter Langdon

This section only covers clips where Prof. Dr. Chris Schlueter Langdon participated in. For a comprehensive overview of all videos please head over to the rearview section.

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