Data Economy – Current projects for research and industry

BML-EcoSys: A high-performance laboratory platform for the Bauhaus.MobilityLab

Bauhaus.MobilityLab Erfurt aims to develop an open, service-oriented ecosystem to more effectively link the energy, transport, mobility, environment, and logistics sectors. The core of BML-EcoSys is a high-performance laboratory platform for the providers and users of new (mobile) services to interact from the outset, jointly developing and testing innovative solutions using AI applications.

Boehringer Ingelheim Enterprise Lab

Cooperation between Boehringer Ingelheim and the Fraunhofer Institute for Software and Systems Engineering ISST in the Enterprise Lab began in 2016, with the objective of actively researching technologies and innovations in the pharmaceuticals field and furthering them in short, agile projects.

CCIT: Fraunhofer Cluster of Excellence Cognitive Internet Technologies

The Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT re-searches cognitive technologies for the industrial Internet. Researchers in various disciplines are developing key technologies along the value chain, from sensors to intelligent learning methods in data processing to the cloud. CCIT helps companies with the forward-looking design of their business by opening up market access with cognitive solution services and products.

DEMAND: Future-oriented management of data as a company resource

In conjunction with digitization, the development of data-driven business models, and the emerging data ecosystems, the importance of data as a resource is grow-ing and ultimately becoming a key competitive factor for companies. The objective of the DEMAND project – Data Economics and MANagement of Data-driven busi-ness – is to develop a fundamental structure for a future-oriented data management approach that helps companies effectively manage data as a resource.

Diagnosis Data Management at Thales

Industrial data storage and use is becoming more and more important in increasingly digitizing processes. For example, a company-specific approach to centralized and de-centralized data management must be found and operational responsibilities must be clearly defined. A functioning data management system is of strategic importance for business processes such as customer service.

Digital model destination North Rhine-Westphalia: Better networking of tourism offers in the Ruhr metropolis

The project’s background is that the data bases of tourism organizations are not only of interest for the open data community, but also for citizens, research institu-tions, companies, and others. This open data project was therefore initiated as an identified regional project of far-reaching importance for the Ruhr metropolis, striv-ing to develop a regional open data offering.

High Performance Center Logistics and IT

Scientific institutions based in Dortmund that – on their own – are already shaping and driving logistics research today are working together under the umbrella of the High Performance Center Logistics and IT. In the High Performance Center, they are now establishing a national infrastructure and innovation ecosystem in cooperation with industry, not only together but also synergetically – from fundamental research to applied research.

IIP-Ecosphere: Next Level Ecosphere for Intelligent Industrial Production

The digitization of industry and ongoing networking are increasing the performance and complexity of technical systems and the corresponding processes. Intelligent production (industry 4.0) is believed to have disruptive innovation potential in the industrial environment. Artificial intelligence (AI) is considered a key technology here.

Industrial data management at VW: Not just producing industrial data, but using them

Companies are continuously recording increasing volumes of master, movement, and process data, and using them in numerous business processes. As a result, the intelligent management of these data is increasingly becoming a key success factor in global competition. Obtaining gainful information and effectively improv-ing business processes can only succeed when data of high quality are collected and made available.

InDaSpacePlus: Industrial Data Spaces Plus

Global digital networking is ongoing. This makes new business models, smart ser-vices, and innovative service offers possible. The secure exchange of data in value chains is a prerequisite. Meanwhile the calls for German and European solutions in the highly competitive market for industrial cloud-based solutions are getting ever louder.

MobiDS: Mobility Data Space for individual travel offers

Mobility will increasingly adapt to the individual needs of travelers in the coming years, for example through new on-demand mobility offers and autonomous vehi-cles in private and public transport.

QU4LITY: Autonomous quality and zero defect production in industry 4.0

QU4LITY is the largest European project dedicated to autonomous quality (AQ) and zero defect production in industry 4.0. Increasing global competition and the de-mand for personalized products and services are prompting companies to find efficient means of production and to reduce costs.

QuarZ: Using services with data sovereignty in the urban district of the future

The QuarZ project – “Quartier der Zukunft” – aims to improve the everyday lives of people in urban districts. Services, for example in the smart home, smart invoice, district network, and mobility fields, are being developed for this purpose within the project framework.

SDaC: Smart Design and Construction in the building sector

The SDaC project aims to develop a platform for the use of artificial intelligence (AI) applications in the building sector. AI applications contribute to completing construction projects more efficiently and quickly, and to better meeting the needs of building users.

SealedServices: Infrastructure for the realization of industrial services in value networks in the context of digital integrity and sovereignty

Digital networking is an important element in securing competitiveness in medium-sized mechanical and plant engineering companies. Complex plants and machines are linked with industrial services, such as maintenance or digital remote services, in order to tailor individual customer solutions over the entire system life cycle.

Tourism data management NRW: Open, networked, digital

The new state tourism strategy for North Rhine-Westphalia recommends a decentral-ly organized yet networked data and content strategy. This requires data to be pre-pared so they are machine-readable and available to all tourism industry players in NRW and beyond – regardless of the output format, from the smartphone to the big screen. Uniform data standards and open licensing for data with the intent of developing a corresponding visibility are elementary here.