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June 10, 2020

Data-Centered Value Creation

From Hollywood into Your Home: The Customer Digital Twin is Coming … with “IDS Inside”
Prof. Dr. Christoph Schlueter Langdon

Deutsche Telekom is an active member of the IDSA launching coalition. Its Telekom Data Intelligence Hub (DIH) drives the adoption of IDS concepts, such as with its Trusted Connector, the first “IDS_ready” certified product. This IDS implementation is also planned for GAIA‑X, a project to create the next generation, federated data infrastructure for Europe that meets the highest standards of digital sovereignty while promoting innovation. Today, we will be able to use the Data Intelligence Hub as a starting point to aid the development of DaWID, a human digital twin initiative.

Human Digital Twin

The arts are typically seen as a leading indicator of societal trends, pointing to a possible, probable or preferable future of mankind. One example is the human clone or cyborg or avatar. Hollywood invented or foresaw them a long time ago. Examples range from the dark to the mysterious, from director David Cameron’s 1993 “Terminator” movie with the T‑800 cyborg portrayed by Arnold Schwarzenegger … to director Spike Jonze’s Samantha, an artificially intelligent virtual assistant, played by Scarlett Johansson, in the 2013 movie “Her.” Now serious scientists and leading innovators around the world are working on its implementation in the context of human digital twins.

Figure: Launching team from left, Jan Bartsch, Prof. Dr.  Christoph Schlueter Langdon, Marcel Rebbert, Dr. Sarah J. Becker, Dr. Sven Meister, Florian Lauf, Dr. Marija Radic and Dr. Tobias Dehling

The data paradox – making headline news during the 2020 corona virus crisis

In Germany, one example is the team of experts around DaWID (see Figure). DaWID is funded by the German Federal Ministry of Education and Research, and focused on data. Why data? An avatar or human digital twin is not made of flesh and bones but data. And data involving humans and particularly data with so called personally identifiable information (PII) exhibits a built-in conflict: on the one hand data should have as much information in it as possible to be valuable, even commercially (“data is the new oil”); on the other hand, in order to protect a human’s privacy it should have as little personally identifiable information in it as necessary. Today’s data anonymization, a tool to ensure data privacy, systematically removes personally identifiable information from data, which in turn reduces the economic value of the data.

How to solve this conundrum? This dilemma made front page news during the Corona crisis: Wouldn’t it be great to be warned by an app that I am about to approach an infected person? Would it be a good idea to trace every single infected citizen? But what about protecting a citizen’s data privacy? The debate has made headline news: Germany Backs Away From Compiling Coronavirus Contacts In A Central Database (NPR, 2020-04-27), In U‑turn, Germany backs Google and Apple on virus app (DW, 2020-04-26). This is exactly the focus of DaWID: identifying solutions for a customer digital twin that are compliant with privacy laws, ethically correct and allow as much data usage as possible – including monetization – and as little privacy loss as necessary.

A strong team of experts: Fraunhofer, KIT, idigiT and Deutsche Telekom

BMBF picked a thought leader, assembled a team of top scientists and innovators, and suggested a winning recipe. The leader is Prof. Dr. Boris Otto, a pioneer in the field of data governance and sovereignty, who was able to introduce a first, refined view on digital human twins to the German Chancellor, Angela Merkel, during the 2019 Digital Gipfel. The team is run by Dr. Sven Meister, a renowned healthcare digitization expert, and includes Fraunhofer ISST and IMW; KIT, Karlsruhe Institute of Technology, a German excellence university, idigiT, a healthcare expert affiliated with Uni Witten/Herdecke, and Deutsche Telekom’s Data Intelligence Hub with a novel data analytics Platform-as-a-Service offering and its IDS-based Trusted Connector solution.

This article is based on a longer piece on the Data Intelligence Hub Journal.

For a more detailed scientific and business perspective, respectively:

  1. Otto, B., and S. Meister. 2019. Digital life journey: Framework for a self-determined life of citizens in an increasingly digitized world. Basic Research Paper, ISST Report, Fraunhofer ISST (link)
  2. Crosby, L., and C. Schlueter Langdon. 2014. Technology Personified. Marketing News, American Marketing Association (February): 18–19 (link)
Author: Prof. Dr. Christoph Schlueter Langdon
Christoph Schlueter Langdon 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 partner on-boarding, data innovation, and mobility & automotive.

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