Data Innovation Community “Smart Infrastructure”

The new data innovation community “Smart Infrastructure” was kicked off successfully at the 8th strategy board meeting. The new data innovation community that is lead by Veit Hagenmeyer (KIT) and Hellmuth Frey (ENBW) centers around smart data challenges in energy and mobility.

Focus: “Smart Cities”

Urban development and traffic management are also areas where Big Data analyses open up entirely new possibilities. By means of integrated transport communication solutions and intelligent traffic management systems, the traffic in fast-growing, densely populated urban areas can be managed better. In cities, immense masses of data are generated by subway trains, buses, taxis and traffic cameras, just to name a few. The existing IT environment hardly allows for making forecasts or even extended data analyses in order to play through different traffic and transport scenarios. However, that’s the only way to improve the respective services and further urban planning. The moment when information can be analyzed in real-time, correctly interpreted and put into context with historical data, then traffic jams and dangerous situations can be identified at an early stage, leading to a significant decrease in traffic volume, emission and driving time.

Focus: “Energy”

The energy industry is facing fundamental changes: the move towards renewable energies; the EU stipulation to install smart meters; the development of new, customer-centered business models, etc. All these changes combine, thus forming entirely new challenges for the IT infrastructure of the energy industry. Utility companies will be able to optimize their business processes and develop new business models by analyzing comprehensive data, both structured and unstructured (e.g. data generated by mobile device apps, web portals or social media). A case in point: Big Data analyses enable better consumption forecasts so that energy providers will be able to better manage and control their energy purchases on the energy markets. Due to Big Data, consumption rate models can be better tailored to specific user groups. Moreover, unhappy customers can be identified more quickly – allowing for measures that ensure a higher customer retention.

Participation

The Data Innovation Community “Smart Infrastructures” wants to explore important data-driven aspects in the area of infrastructure optimization, planning and control as well as analytic solutions to support decision making

The Data Innovation Community “Smart Infrastructures” addresses all companies and research institutions interested in conducting joint research with regard to these aspects. This includes energy industry user companies as well as companies from the automation and IT industries.

DIC-Leitung

Prof. Dr. Veit Hagenmeyer
veit.hagenmeyer@kit.edu

Karlsruhe Institute of Technology

Hellmuth Frey
h.frey@enbw.com

EnBW

veit-hagenmeyer

If you are interested in working with the Data Innovation Community or visit one of its meetings, please contact the DIC leads via e-mail to infrastructure@sdil.de.

Members can access the internal forums at SAP Jam.

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