IoT 2014 Value Creation Workshop: SDIL
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Structuring Big Data results to create new information: Smart Data. These Smart Data can be used to advance knowledge and support decision-making processes. A close cooperation between industry and science creates better conditions for cutting-edge research in Data Engineering/Smart Data.
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IoT 2014 Value Creation Workshop: SDIL
- 1. can data be smart? Accelerating Data driven Innovation with a Smart Data Innovation Lab (SDIL) Dr. Till Riedel, 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
- 2. Karlsruhe Institute of Technology A merger of the University of Karlsruhe (est. 1825) and the Karlsruhe Research Center 3Nobel Laureates 2 Employees 364 9,261 23,836 Professors Students 789 Annual Budget in Million Euros
- 3. Computer Science at KIT Computer Science and applied CS 250 2700 3 Scientific Staff 41 Students 1972 1st CS department in Germany #1 Professors Computer Science Ratings, DFG Funds 190 > 900 PhDs Professors gained status from KIT‘s CS faculty
- 4. Why Big Data Matters: Dimension of Convergence Time Frequency Delay Location Perception # Phenomena Resolution Error 4 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu Location Uncertainty vs. GPS Sampling Rate Paek, J., Kim, J., Govindan, R.: Energy-efficient rate-adaptive GPS-based positioning for smartphones. In: Proc. of the 8th Intl. Conf. on Mobile systems applications and services MobiSys 10, MobiSys ’10, p. 299ff. ACM, ACM Press (2010) Krijger, J. M., van Weele, M., Aben, I., and Frey, R.: Technical Note: The effect of sensor resolution on the number of cloud-free observations from space, Atmos. Chem. Phys., 7, 2881-2891 Information Reality
- 5. Internet of Things and Services Meaningful Presentation Information /Services 5 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu SRM CRM PLM /Things SCM ERP PLM EHM Leg-acy A2A People collaboration B2B roles embedded analytics alerts roles Smart Items Middleware Internet of Things Reality
- 6. Smart Economy: Data, the “new oil” What are the ramifications for Germany and Europe? Traditionally home of engineers. Engineering needs to be extended to also accommodate “Digital Data Engineering”. real-time processing of large data quantities (“Big Data”). Structuring Big Data results in information (“Smart Data”) leads to knowledge advantages can be used to support decision-making processes. 6 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
- 7. The Smart Data Innovation Lab (throwing oil onto the fire) Data Sources Industrial, Research, Government, Open Data Smart Data Innovation Lab 7 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu Knowledge and Innovation (Analysis results, prognosis, Online-Analysis Systems) (Fast) Research and Development Systems, Analytics, Research based on open, proprietary SDIL internal Knowledge Generated Data Code Artefacts Selected Results „new oil“
- 8. Our 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 8 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
- 9. Smart Data: From Data to Wisdom Information makes data meaningful for audiences because it requires the creation of relationships and patterns between data. Source: Nathan Shedroff, nathan.com 9 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu Transforming data into information is accomplished by organizing it into a meaningful form, presenting it in meaningful and appropriate ways, and communicating the context around it.
- 10. Context Sensitive Systems w/ Predictive Analytics Planning, Control, Real Time Reaction Massive Ad-hoc Deployment of CPS-Systems, Recognition of Process related parameters Automatic Correlation to find novel insights 10 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu Use of the data for planning, controlling processes
- 11. Meaningful Data in Context: Realtime Smart Data in Maintenance 11 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu L1A10 Temp L1B22 Temp L1B20 Temp L3A10 Temp L1A10 Temp teco.kit.edu
- 12. 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 12 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
- 13. 3 Data Access / Data Results Models (planned) Open Data Open to the public SDIL community open data Open to organisations who signed the contract and agreed to the terms and conditions of the contract Required for restricted access data (IP-Knowledge, data protection) SDIL P2P data Open to two or more partners in SDIL bound to a general NDA which includes handling rules for ethics and privacy Mixed data Fair share: Same amount of input (e.g. percentage of Open Data Input) and output (e.g. same amount of Open Data Output) Same approach for algorithms 13 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
- 14. Governance & Communities Strategy Board SDIL-Coordinator and Deputy (Michael Beigl, Laure Le Bars) Industry 4.0 (Lead: Bosch, DFKI) Energy (Lead:EnBW, KIT) Smart Cities (Lead:Siemens, FhG) Medicine (Lead:Bayer, FZJ) 14 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu Operational Board Innovation Communities Projects Repository Central Storage Remote Data Source Catalogue, Broker HANA Terra-cotta Azure ? 9000 … HAL Generic Tools, Data Curation Support Data Curation (Lead:DFKI, FhG) SDIL Platform
- 15. Further Activities and Services of SDIL (soon) Community Forums Workshops, Competition Consulting & Support Tools Education Contact us: http://www.sdil.de/en/contact/ Prof. Michael Beigl ([email protected]) (SDIL Coordinator) 15 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
- 16. Bytecode 16 Smart Data Innovation Lab. Michael Beigl. teco.kit.edu Till Riedel, Big With Data, ?