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Mobilithek goes mobile

Traffic jams, long lines, crowds, and stress are part of commuters’ everyday experience. Even those who use buses and trains and incorporate other mobility providers are familiar with the problems of overcrowding and searching for connections. But networked mobility with central data management that is mandatory by law offers a way out.

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Sven Löffler

Feb 15, 2023

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FAZ Sees “EU facing the data battle” – DIH Plays a Central Role as Data Trustee

The FAZ has received a new draft law for the sovereign handling and exchange of industrial data within the EU (“Data Governance Act”, link to FAZ article).

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Chris S. Langdon

Nov 18, 2020

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Neat ideas for scruffy garbage

A lot of waste is generated in cities and garbage cans are often overcrowded. They are emptied as soon as the garbage collector has them on their schedule. In order to counteract this problem, one must know the filling levels of the buckets and determine the optimal time of emptying.

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Sven Löffler

Apr 23, 2020

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Enlightening data

Many people now use a smart lighting solution for their home. However, it is not only private individuals who have discovered the advantages of an intelligent lighting system; cities are also relying on this solution.

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Sven Löffler

Apr 23, 2020

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Digital Summit: Gaia-X

On 28 and 29 October 2019, the most important personalities from politics and business met in Dortmund. This is this year’s digital meeting, at which, in addition to the focus on digital platforms, the Gaia-X project, which is a vision for the future in Europe, was presented.

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Sven Löffler

Dec 04, 2019

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Creating datapools for AI: More of the right data

The first rule of success with data analytics and artificial intelligence (AI) is to use (a) the right data and (b) in the right quantity, because AI can only extract insights if the information for it is captured in the data – and the more, the better. For example, if predicting the failure of a machine is the objective, then any data input for creating the algorithm must contain information on past failure events and lots of these events. Otherwise, it is “garbage in, garbage out” (GIGO).

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Chris S. Langdon

May 20, 2019

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Data: How to measure it?

Data monetization is promised to be the next big thing. Analysts and consultants are promising hundreds of billions in revenue (e.g., McKinsey 2016). Her excellence the German Chancellor, Angela Merkel, is addressing the downside, sternly warning German industry to catch up: “If we let this element of value creation be taken out of our hands, then it will be a rude awakening for Germany as an industrial country” (Merkel 2019, link, at 13:17).

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Chris S. Langdon

Feb 01, 2019

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Data is broken: The data productivity crisis

Data is promised to be the next big business (e.g., Wall 2019, Gartner 2018a). Investment banks, analysts and consultants further feed the frenzy with big revenue forecasts. In terms of data monetization opportunities, consultants McKinsey & Company estimate that car-generated data alone will be worth between US$450 billion and US$750 billion by 2030, less than two vehicle generations away (McKinsey 2016). Consumer data is already a big business today. Google and Facebook live off the data that users create on their platforms. Almost all their revenue is from advertising, selling “eyeballs” and user engagement to advertisers.

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Chris S. Langdon

Dec 18, 2018

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Data analyses to improve breathing air quality

Something in the air. Municipalities are responsible for making sure there’s clean air on their streets. To do so, air quality is measured at selected locations with the aid of complex and expensive sensors and transmitted to the responsible authorities such as the state, federal government or the EU.

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Sven Löffler

Nov 20, 2018