Smart Data Innovation Lab (SDIL)



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Smart Data Innovation Lab (SDIL) Accelerating Data driven Innovation NESSI Summit May 27, 2014 Prof. Dr.-Ing. Michael Beigl Department of Informatics KIT University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association www.kit.edu

Smart Data Innovation Lab (SDIL) Activity of working group 6 (Education and Research) of the German Government Announced January, 2014 (Operation Centre: KIT) Structure: Operation + Research & Innovation in High-Speed Big Data (with semantics, security & trust) aka Smart Data Topics = Data Communities are selected to start Industry (4.0), Energy, Smart Cities, Medicine Core Members bound by contract Operation & Community Members: Karlsruhe Institute of Technology (KIT), Microsoft, SAP, Software AG Operators: Hitachi Data Systems Community Members: Bayer, Bosch, Energy Baden-Württemberg (EnBW), Forschungszentrum Jülich, Fraunhofer, German Research Centre for Artificial Intelligence (DFKI), Siemens 3-2 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu

SDIL Goals A Smart Data Centre and a Smart Data Community Prompt Co-Working on valuable Problems with valuable Big Data Requires Structure (SDIL Orga) and Trust (SDIL Contract) Knowledge Transfer from Research to Industry and vice versa Exploration of Smart Data Potential / Innovation Potential Best Practice and Standards Research in Analytics, Systems, Application Domain specific Smart Data Tools, Support, Management, Privacy, Legal and Curation HCI and Usability First focus: short term high impact projects 3-3 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu

Support Repository Governance SDIL Coordination Ind 4.0 (DFKI, Bosch) Operator Energy (EnBW, KIT) Cities (Siemens, FhG) Projects HANA Terracotta Azure Generic Tools, Data Management, Legal Medicine (Bayer, FZJ) Central Storage Remote Data Source Catalogue, Broker Data Curation (DFKI, FhG) Communities 3-4 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu SDIL Platform

Research and Innovation Cycle Generated Data Data Sources Industrial, Research, Government, Open Data Systems, Analytics, Research based on open, proprietary SDIL internal Knowledge Smart Data Innovation Lab (Fast) Research and Development Code Artefacts Selected Results Knowledge and Innovation (Analysis results, prognosis, Online-Analysis Systems) 3-5 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu

SDIL Project Phases Phase: Information Industry and research partners search partners and their competence focus through the SDIL database Phase: Project Definition Data Access / Result Model Selection, Funding & Contract Model Research and Innovation Question and Results (Data, Algorithm, System) Technical Details including Data and Service Interfaces Project Proposal Phase Proposal handed into SDIL Community In case of go: Preparing Operation Phase: Analysis Prepare Data, Compute, Interpret Data and/or develop analytical method or system Publish Results according to Data Model Continuation Phase Prepare for follow up actions or development of a run time system Care of Data Life Cycle according to contract 3-6 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu

SDIL Models (proposed) SDIL introduces legal models to accelerate data driven research Data Access Models: Standard for data access P2P Models: Standard Contracts how to Share data What results get published Data Life Cycle Funding Contract Model SDIL develops standardized interfaces to data and computation Technical Libraries to harmonize access to HANA, Terracotta, Hadoop, Watson etc. Specialized libraries for application areas and user groups 3-7 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu

Further Activities and Services of SDIL Workshops Competition Consulting & Support Tools Education 3-8 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu

Core members Operation & Community Members Karlsruhe Institute of Technology (KIT) SAP Software AG Microsoft Operators Hitachi Data Systems Community Members Bayer Bosch Energy Baden- Württemberg (EnBW) Forschungszentrum Jülich Fraunhofer German Research Centre for Artificial Intelligence (DFKI) Siemens 3-9 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu