The Smart Data Innovation Lab

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
Karlsruhe Institute of Technology
A merger of the University of Karlsruhe (est. 1825)
and the Karlsruhe Research Center
Employees
9,261 23,836
3
364
Professors
Nobel Laureates
10 km to France
3h to Paris by TGV
2
Students
789
Annual Budget in Million
Euros
Computer Science at KIT
Computer Science and applied CS
Scientific Staff
250
#1
41
Students
2700
Professors
1972
Computer Science Ratings, DFG Funds
190
1st CS department in
Germany
PhDs
> 900
Professors gained status
from KIT‘s CS faculty
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Why Big Data Matters:
Dimension of Convergence
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)
Time
Frequency
Information
Delay
Location
Perception
# Phenomena
Resolution
Error
Reality
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
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
Internet of Things and Services
People
Meaningful
Presentation
embedded
analytics
roles
collaboration
roles
Information
/Services
alerts
A2A
Internet
of
Things
Legacy
SCM
ERP
EHM
Middleware
Smart
Items
Reality
/Things
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PLM
B2B
Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
SRM
CRM
PLM
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.
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
The Smart Data Innovation Lab
(throwing oil onto the fire)
„new oil“
Data Sources
Industrial,
Research,
Government,
Open Data
Systems,
Analytics,
Research
based on
open,
proprietary
SDIL internal
Knowledge
Generated Data
(Fast) Research
and
Development
Code Artefacts
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Selected
Results
Smart Data
Innovation Lab
Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
Knowledge and Innovation
(Analysis results, prognosis,
Online-Analysis Systems)
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
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
Smart Data: From Data to Wisdom
Information makes data meaningful for audiences
because it requires the creation of relationships and
patterns between data.
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.
Source: Nathan Shedroff, nathan.com
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
Context Sensitive Systems w/ Predictive Analytics
Planning, Control, Real Time Reaction
Massive Ad-hoc
Deployment of
CPS-Systems,
Recognition of
Process related
parameters
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Automatic
Correlation to
find novel
insights
Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
Use of the data
for planning,
controlling
processes
teco.kit.edu
L1A10
Temp
L3A10
Temp
L1A10
Temp
L1B22
Temp
L1B20
Temp
Meaningful Data in Context:
Realtime Smart Data in Maintenance
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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
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
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
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
Governance & Communities
Strategy Board
SDIL-Coordinator and Deputy (Michael Beigl, Laure Le Bars)
Operational Board
Industry 4.0
(Lead: Bosch, DFKI)
HANA
Support
(Lead:Siemens, FhG)
Projects
Smart Cities
Repository
Energy
(Lead:EnBW, KIT)
Medicine
(Lead:Bayer, FZJ)
Terracotta
Innovation Communities
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
9000
…
HAL
Generic Tools, Data Curation
Central
Storage
Remote
Data Source
Data Curation
(Lead:DFKI, FhG)
Azure ?
SDIL Platform
Catalogue, Broker
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)
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
Bytecode
?
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Smart Data Innovation Lab. Michael Beigl. teco.kit.edu
Till Riedel, Big With Data,

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