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A number of experts in the most important branches have also provided their view of the state of play in those industries

6.1 Application Platforms

6.1.1 Smart Data Innovation Lab – Karlsruhe Institute of Technology

R&D

Organisation Smart Data Innovation Lab (SDIL)

Prof. Dr. Michael Beigl | TECO / Karlsruhe Institute of Technology (KIT) | teco.kit.edu Vincenz-Priessnitz-Str. 1 | 76131 Karlsruhe | +49 721 608 41700 | Michael.Beigl@kit.edu R&D

activities The Smart Data Innovation Lab (SDIL) offers big data researchers unique access to a large variety of Big Data and In-Memory technologies. Industry and science collaborate closely in order to find hidden value in big data and generate smart data. Projects are focused on the strategic research areas of Industrie 4.0, Energy, Smart Cities and Personalized Medicine.

The hardware and software provided by the SDIL platform enables researchers to perform their analytics on unique state of the art hardware and software without acquiring e.g. separate licensing or dealing with complicated cost structures, providing external research and industrial partners with access to e.g. SAP HANA in-memory databases and/or the IBM SPSS Modeler predictive analytics tools running with SPSS Analytic Server integrated with the Apache Spark and Hadoop. The platform also offers access to easy to use big memory solution BigMemory Max by Software AG to scale up existing algorithms as well as diverse open source analytics and data processing tools.

Within the SDIL numerous successful projects with regard to energy consumption optimization, anomaly detection, quality improvement or efficiency analysis and improvement of industrial production have already been conducted. It provides industrial data providers with a chance to analyze their data fully secured on-premise together with an academic partner.

Template agreements and processes ensure fast project initiation at maximum legal security fit to the common technological platform. A standardized process allows anyone to set up a new collaborative project at SDIL within 2 weeks.

In order to close today’s gap between academic research and industry problems through a data driven innovation cycle the SDIL provides extensive support to (publicly and privately funded) collaborative research projects free of charge.

The SDIL is coordinated by the TECO research group and the SDIL Platform is operated by the Steinbuch Centre for Computing (SCC) both at KIT.

R&D cooperation

Close collaboration with international Big Data Innovation Space like the French TeraLab within the BDVA, the European Big Data Value Public Private Partnership

Together with the Fraunhofer IAIS and the DFKI the KIT supports the SDIL through the BMBF-funded project »Smart Data Innovation processes, tools and operational concepts«

(SDI-X)

Collaboration with the Smart Data initiative, the Smart Data Forum and the German Big Data Competence Centers

Cooperations with partners in industry

The SDIL is supported by the following HW Core-Partners:

IBM sponsoring an IBM Watson Foundation Power 8 (4TB RAM, 140 cores, incl. SPSS, Hadoop/Spark Support, ...)

SAP sponsoring SAP HANA

(4TB RAM, 320 cores, incl. Vora, Predictive Analytics Library, … )

Software AG sponsoring their Terracotta and Apama platforms

The Data Innovation Communities are co-led by industrial and academic partners

Energy: EnBW together with KIT

Personalized Medicine: Bayer together with Forschungszentrum Jülich

Industrie4.0: Trumpf together with DFKI

Smart Cities: Siemens together with FhG IAIS

An updated list of projects with industry partners is available at: ↗www.sdil.de/projects Additional

Information Within the state of Baden-Württemberg the SDIL is also offering free consulting to KMUs as well as a free first time analysis of their data sources through the Smart Data Solution Center Baden-Württemberg (SDSC-BW) funded by the local Ministry of Science, Research and the Arts (MWK)

Figure 11: SDIL´s free Testbed for Data-driven Innovation based on State-of-the-Art Analytics Horizontal Activities: Data Curation, Legal and Security

Strategy Board consisting of Core Partners

Operations SDIL-Coordinator und Deputy

Energy

Industrie 4.0

Medicine

Smart Cities Open Data Shared Code

Repository SecureProject

Environment

SDIL Data Innovation

Communities Smart Data Innovation

Lab Platform

SAP HANA Terracotta Watson

Foundation ...

Support

Research Projects

Free Use

Tools & Processes

6.1.2 Industrial Data Space – Fraunhofer-Gesellschaft

R&D

Organisation Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V.

www.fraunhofer.de R&D

activities

The »Industrial Data Space« is a virtual data space using standards and common governance models to facilitate the secure exchange and easy linkage of data in business ecosystems.

It thereby provides a basis for creating and using smart services and innovative business processes, while at the same time ensuring digital sovereignty of data owners.

The Industrial Data Space initiative was launched in Germany at the end of 2014 by representatives from business, politics, and research. Meanwhile, it is an explicit goal of the initiative to take both the development and use of the platform to a European and global level.

The Industrial Data Space comes as an initiative that is organized in two branches: a research project and a non-profit user association. The research project is funded by the German Federal Ministry of Education and Research (BMBF). It is of precompetitive nature and aims at the development and pilot testing of a reference architecture model of the Industrial Data Space.

The work of the research project is tightly connected with the activities of the user association named »Industrial Data Space e.V.«. The main goal of the user association is to identify, analyze and evaluate the requirements of user companies to be met by the Industrial Data Space.

Furthermore, the user association contributes to the development of the reference architecture model and promotes its standardization.

Plans to take the Industrial Data Space to a European level to provide a European Data Space are currently in preparation: The Roundtable on Industrial Data Platforms in Brussels on Feb 17, 2016 (led by Commissioner Oettinger) clearly showed the need for a European Data Space.

A concerted action at a European level is required to drive the advancement and proliferation of digital platforms for smart data management that at the same time ensures digital sovereignty of all participating stakeholders.

With a focus on the secure exchange and easy combination of data assets in business ecosystems, the European Data Space will enable companies of various sectors and sizes to leverage the business opportunities which digitization brings about without losing control over the use of their data.

The design of the European Data Space will follow principles derived from strategic user requirements, including: a decentral data architecture without central data lake instances, collaborative data governance models, economic valuation of data in use and scalability in terms of deployment scenarios.

With this federated approach, the European Data Space will recognize the existence of a variety of different data platforms (e.g. Internet of Things clouds) and resulting multi-homing requirements of data providers and data users. The European Data Space will advance data interoperability for European data value chains at a business and technical level via a comprehensive architectural blueprint to be taken up by various stakeholders and by demonstrating the feasibility and viability of its design in in-depth use case scenarios.

The European Data Space will make intensive use of existing contributions from member states, including the Smart Industry initiative in the Netherlands, the work on Economy of Data in France, the Industrial Data Space initiative started in Germany and the FIWARE initiative. The European Data Space will also make use of existing standards such as RAMI4.0 and blockchain. Through its consortium members, in particular the FIWARE Foundation, the associated results will be made available as open standards themselves.

R&D

cooperation International R&D partners which are part of the initiative European Data Space to take the Industrial Data Space to a European level, include the following:

Smart Industry platform in the Netherlands: The Dutch Smart Industry platform was set-up by the FME, the federation of the Dutch manufacturing industry. The organization represents 2,200 companies in many different industry sectors. The Smart Industry platform adopted in 2014 an action plan to stimulate digitalization in Dutch industry by fostering public-private collaborations in so-called fieldlabs. Several fieldlabs were set-up, e.g. on secure data sharing, smart maintenance and smart supply chains. The platform expressed its clear support for the proposal and will provide access to fieldlabs aligning their national initiatives with developments on a European scale. In addition it provides a platform for setting-up further pilots/business cases/fieldlabs based on the outcomes of the European Data Space.

Pan-European I4MS: The European Data Space will be aligned with the I4MS (ICT Innovation for Manufacturing SMEs) FoF-PPP action, which is a 150 M€ initiative designed to help more than

250 high-tech manufacturing SMEs exploit through ten open calls the experimentation of more than 150 innovative ICT services for advanced manufacturing processes, in collaboration with more than 120 ICT partners and competence centers all over Europe.

BEinCPPS: The European Data Space is well aligned with the BEinCPPS Innovation Action on cyber physical production systems connecting the cloud to the shopfloor. The main goal of BEinCPPS is the creation of five Innovation Hubs in selected Vanguard Regions: Lombardia (IT), Euskadi (ES), Baden-Wurttemberg (DE), Norte (PT) and Rhone Alpes (FR).

The European Data Space is deeply aligned with FIWARE, NESSI, EFFRA, DBVA and the AIOTI associations. The FIWARE Foundation will participate directly in the European Data Space initiative. Several other participants in the European Data Space initiatives are members of the European Association for the Factory of the Future (EFFRA), the European Association of Big Data (BDVA) and the European Alliance of the Internet of Things (AIOTI), as well as member of the Industrial Research Advisory Board (IRAG) of EFFRA. The European Data Space participant ATOS is a founding member of the European Technology Platform NESSI (Networked European Software and Services Initiative) and a major partner in Future Internet-related initiatives being member of the FI PPP Steering Board and Industrial Advisory Board. Since 2014, ATOS is a founding member of the Big Data Value Association (BDVA) as well as also member of the 5G PPP Steering Board.

At national level, ATOS is currently holding the Presidency and Secretary of PLANETIC for ICT, as well as the Vice-presidency of Internet for Future Internet technologies, and is member of several others, such as Logistop for Integral Logistics or the Spanish Railways Technology Platform.

Furthermore, the European Data Space is aligned with the Vanguard Regions initiative in which leading industrial regions commit to the industrial future of Europe supported by Smart Specialisation. The aim is boosting new growth through bottom-up entrepreneurial innovation and industrial renewal in European priority areas.

Cooperations with partners in industry

Partners in industry which are part of the initiative European Data Space to take the Industrial Data Space to a European level, bring in their expertise as explained in the following: ATOS, PricewaterhouseCoopers (PwC), Santander, Siemens, and Telefónica are among the European market leaders in their respective areas and they bring strong expertise in the provision of services and solutions for Security, Privacy and Trust (ATOS, PwC and Santander) and data evaluation (Siemens and Telefónica ). They also bring expertise and know-how for commercialisation and exploitation of innovative solutions and a strong record of doing that in European and International level. PwC contributes to the initiative by identifying the general requirements for the architecture of the European Data Space and will develop a certification approach. ATOS and INNOVALIA are leading the European network of poles for FIWARE for Industry (Portugal, France, Germany, United Kingdom and Spain) with the support of the Fraunhofer-Gesellschaft (FhG) as German Hub manager and INNOVALIA is leading the development of the community around the I4MS CPPS competence centers (Spain, Portugal, Italy, Germany and France) connecting directly with the Vanguard initiative. Banco Santander is one of the Eurozone’s leading banks and will bring its expertise in financial products and services to the design of innovative Smart Financial services as value added data services associated to the European Data Space. In addition, it will collaborate in the commercialisation and exploitation activities. It will also contribute application use case pilots, bringing cross-domain expertise from the financial sector.

6.2 Mobility – Automotive Competition and key drivers

The automotive industry in Germany is one of the largest employers in the country, with a labor force of over 793.000 (2015) people working in the industry (Statista_01). The automotive sector has significant economic importance for German industry with an overall revenue in Germany of 404,8 bn Euro. 65,1% (263,4 bn euro) of the revenue was produced abroad, 34,9% (141,3 bn euro) is domestic revenue (Statista_02). Furthermore the VW Group, Daimler Group and the BMW Group achieved an overall world-wide revenue of 454,93 bn € in 2015 (Statista_03).

Being home to the modern car, the German automobile industry is regarded as the most