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European Data Forum 2014
European Data Forum 2014
BIG
Big Data Public Private Forum
NEELIE KROES @ EDF 2014….
……A CALL FOR ACTION
“a public private partnership…can
be a powerful way to work together…
Public money is not free money.
Before you can unlock it you need a
very clear plan, showing how any
public investment will work, how it
connects to the activities around it,
and how it will pay off…we need a
Strategic Research and
Innovation Agenda … from a
broad, inclusive and representative
basis, pulling together different
priorities, so they make sense………
we need to do all this quickly, and
to the highest quality”
Neelie Kroes
Vice-President of the
European Commission
European Data Forum 2014
BIG
Big Data Public Private Forum
AGENDA
11:20 A Big Data Value Innovation Ecosystem for
Europe: A Business Perspective.
Harald Schöning, Software AG, NESSI Board
11:45 Launch of the PPP/Consultation process
Marta Nagy-Rothengass, Head of Unit Data Value
Chain, DG CONNECT
11:35 Towards a Big Data Public Private Partnership
Nuria De Lama, Atos, NESSI, BIG
11:50 The Big Data Value Chain
Edward Curry, NUIG, BIG
12:00 Big Data Transformations of Sectors
Helen Lippell Press Association Sonja Zillner Siemens
12:10 Question & Answers Session
All
BIG
Big Data Public Private Forum
The BIG Project
BIG aims to promote a well-developed EU industrial
landscape in Big Data:
▶  Providing a clear picture of existing technology trends and
their maturity
▶  Acquiring a sharp understanding of how Big Data can be
applied to concrete environments / use cases
▶  Pushing European Big Data research and innovation to
contribute in increasing European competitiveness
▶  Building a self-sustainable, industry-led initiative
Overall Objective
Work at technical, business and policy levels, shaping
the future through the positioning of IIM and Big Data
specifically in Horizon 2020.
Bringing the necessary stakeholders into a self-
sustainable industry-led initiative, which will greatly
contribute to enhance the EU competitiveness taking
full advantage of Big Data technologies.
„NESSI is the European Technology Platform for the new
Digital Information Society and Economy 2.0, powered by
software and services and data“
The Mission
" Provide thought leadership in Europe on the convergence of the networks of data,
things and services
" Drive convergence and transformation by strengthening and advancing the software
and service-based economies in Europe
" Stimulate the creation of ecosystems around software, services, and data
" Provide visionary, comprehensive input to the European Commission, thereby
shaping the European research and innovation agenda
The Challenge
" To promote the long-term importance of Software and Services
eco-system and innovations for Europe’s competitiveness
The Software & Services Focus Areas
" Big Data Value
" Cloud Computing
" Cyber Physical Systems
" All underpinned by Software Engineering
What is NESSI?
European Data Forum 2014
European Data Forum 2014
BIG
Big Data Public Private Forum
The role of BIG & NESSI
• Both BIG and NESSI have aligned interests in
fostering Big Data Value creation for Europe
through Research & Innovation activities
• BIG and NESSI are facilitators in the process
of establishing an PPP
www.bigdatavalue.eu
7European Data Forum 2014 BIG 318062
BIG
Big Data Public Private Forum
THE BIG DATA VALUE CHAIN
Edward Curry, National University of Ireland Galway
European Data Forum, Athens, 20 February 2014
8European Data Forum 2014 BIG 318062
BIG
Big Data Public Private Forum
8 BIG 318062
SECTORIAL FORUMS AND TECHNICAL
WORKING GROUPS
Health Public Sector
Finance &
Insurance
Telco, Media&
Entertainment
Manufacturing,
Retail, Energy,
Transport
Needs Offerings
Big Data Value Chain
Technical Working Groups
Industry Driven Sectorial Forums
Data
Acquisition
Data
Analysis
Data
Curation
Data
Storage
Data
Usage
•  Structured data
•  Unstructured data
•  Event processing
•  Sensor networks
•  Protocols
•  Real-time
•  Data streams
•  Multimodality
•  Stream mining
•  Semantic analysis
•  Machine learning
•  Information
extraction
•  Linked Data
•  Data discovery
•  ‘Whole world’
semantics
•  Ecosystems
•  Community data
analysis
•  Cross-sectorial data
analysis
•  Data Quality
•  Trust / Provenance
•  Annotation
•  Data validation
•  Human-Data
Interaction
•  Top-down/Bottom-up
•  Community / Crowd
•  Human Computation
•  Curation at scale
•  Incentivisation
•  Automation
•  Interoperability
•  In-Memory DBs
•  NoSQL DBs
•  NewSQL DBs
•  Cloud storage
•  Query Interfaces
•  Scalability and
Performance
•  Data Models
•  Consistency,
Availability, Partition-
tolerance
•  Security and Privacy
•  Standardization
•  Decision support
•  Prediction
•  In-use analytics
•  Simulation
•  Exploration
•  Visualisation
•  Modeling
•  Control
•  Domain-specific
usage
9European Data Forum 2014 BIG 318062
BIG
Big Data Public Private Forum
TECHNICAL WORKGROUP APPROACH
Senior	
  
Academic	
  
Senior	
  
Management	
  
Middle	
  
Researcher	
  
Middle	
  
Management	
  
Position	
  in	
  Organisation	
  
University	
  
MNC	
  
SME	
  
Other	
  
Types	
  of	
  Organisations	
  
1.  Literature & Technical Survey
2.  Subject Matter Expert Interviews
3.  Stakeholder Workshops
4.  Online Questionnaire (with
NESSI)
•  Early adopters
•  Business enablement
•  Technical maturity
•  Key Opinion Leaders
Methodology
Interviewee Breakdown
Target Interviewee
10European Data Forum 2014 BIG 318062
BIG
Big Data Public Private Forum
10 BIG 318062
SUBJECT MATTER EXPERT INTERVIEWS
11European Data Forum 2014 BIG 318062
BIG
Big Data Public Private Forum
11 BIG 318062
WORKING GROUP RESULTS
Interviews and Technical White Papers available on:
http://www.big-project.eu
Expert Interviews Technical Whitepapers
▶ Executive Overview
▶ Key Insights
▶ Social & Economic
Impact
▶ Concise State of the Art
▶ Future Requirements &
Emerging Trends
▶ Sector-specific Case
Studies
Next versions released
in April
12European Data Forum 2014 BIG 318062
BIG
Big Data Public Private Forum
12 BIG 318062
KEY INSIGHTS
Key Trends
▶  Lower usability barrier for data tools
▶  Blended human and algorithmic data processing for coping with
for data quality
▶  Leveraging large communities (crowds)
▶  Need for semantic standardized data representation
▶  Significant increase in use of new data models (i.e. graph)
(expressivity and flexibility)
▶  Much of (Big Data) technology
is evolving evolutionary
▶  But business processes change
must be revolutionary
▶  Data variety and verifiability
are key opportunities
▶  Long tail of data variety is a
major shift in the data landscape
The Data Landscape
▶  Lack of Business-driven Big
Data strategies
▶  Need for format and data
storage technology standards
▶  Data exchange between
companies, institutions,
individuals, etc.
▶  Regulations & markets for data
access
▶  Human resources: Lack of
skilled data scientists
Biggest Blockers
Technical White Papers available on:
http://www.big-project.eu
13European Data Forum 2014 BIG 318062
BIG
Big Data Public Private Forum
TECHNICAL WORKING GROUP LEADERS
Data
Acquisition
Data
Analysis
Data
Curation
Data
Storage
Data
Usage
Axel Ngonga
ngonga@infor
matik.uni-
leipzig.de
John Domingue
john.domingue
@open.ac.uk
Edward Curry
ed.curry@der
i.org
Martin Strohbach
MStrohbach@agtin
ternational.com
Tilman Becker
becker@dfki.de
▶ Join the bigdatavalue.eu
mailing list
@BIG_FP7
http://big-project.eu/
info@big-project.eu

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Towards a BIG Data Public Private Partnership

  • 2. European Data Forum 2014 BIG Big Data Public Private Forum NEELIE KROES @ EDF 2014…. ……A CALL FOR ACTION “a public private partnership…can be a powerful way to work together… Public money is not free money. Before you can unlock it you need a very clear plan, showing how any public investment will work, how it connects to the activities around it, and how it will pay off…we need a Strategic Research and Innovation Agenda … from a broad, inclusive and representative basis, pulling together different priorities, so they make sense……… we need to do all this quickly, and to the highest quality” Neelie Kroes Vice-President of the European Commission
  • 3. European Data Forum 2014 BIG Big Data Public Private Forum AGENDA 11:20 A Big Data Value Innovation Ecosystem for Europe: A Business Perspective. Harald Schöning, Software AG, NESSI Board 11:45 Launch of the PPP/Consultation process Marta Nagy-Rothengass, Head of Unit Data Value Chain, DG CONNECT 11:35 Towards a Big Data Public Private Partnership Nuria De Lama, Atos, NESSI, BIG 11:50 The Big Data Value Chain Edward Curry, NUIG, BIG 12:00 Big Data Transformations of Sectors Helen Lippell Press Association Sonja Zillner Siemens 12:10 Question & Answers Session All
  • 4. BIG Big Data Public Private Forum The BIG Project BIG aims to promote a well-developed EU industrial landscape in Big Data: ▶  Providing a clear picture of existing technology trends and their maturity ▶  Acquiring a sharp understanding of how Big Data can be applied to concrete environments / use cases ▶  Pushing European Big Data research and innovation to contribute in increasing European competitiveness ▶  Building a self-sustainable, industry-led initiative Overall Objective Work at technical, business and policy levels, shaping the future through the positioning of IIM and Big Data specifically in Horizon 2020. Bringing the necessary stakeholders into a self- sustainable industry-led initiative, which will greatly contribute to enhance the EU competitiveness taking full advantage of Big Data technologies.
  • 5. „NESSI is the European Technology Platform for the new Digital Information Society and Economy 2.0, powered by software and services and data“ The Mission " Provide thought leadership in Europe on the convergence of the networks of data, things and services " Drive convergence and transformation by strengthening and advancing the software and service-based economies in Europe " Stimulate the creation of ecosystems around software, services, and data " Provide visionary, comprehensive input to the European Commission, thereby shaping the European research and innovation agenda The Challenge " To promote the long-term importance of Software and Services eco-system and innovations for Europe’s competitiveness The Software & Services Focus Areas " Big Data Value " Cloud Computing " Cyber Physical Systems " All underpinned by Software Engineering What is NESSI? European Data Forum 2014
  • 6. European Data Forum 2014 BIG Big Data Public Private Forum The role of BIG & NESSI • Both BIG and NESSI have aligned interests in fostering Big Data Value creation for Europe through Research & Innovation activities • BIG and NESSI are facilitators in the process of establishing an PPP www.bigdatavalue.eu
  • 7. 7European Data Forum 2014 BIG 318062 BIG Big Data Public Private Forum THE BIG DATA VALUE CHAIN Edward Curry, National University of Ireland Galway European Data Forum, Athens, 20 February 2014
  • 8. 8European Data Forum 2014 BIG 318062 BIG Big Data Public Private Forum 8 BIG 318062 SECTORIAL FORUMS AND TECHNICAL WORKING GROUPS Health Public Sector Finance & Insurance Telco, Media& Entertainment Manufacturing, Retail, Energy, Transport Needs Offerings Big Data Value Chain Technical Working Groups Industry Driven Sectorial Forums Data Acquisition Data Analysis Data Curation Data Storage Data Usage •  Structured data •  Unstructured data •  Event processing •  Sensor networks •  Protocols •  Real-time •  Data streams •  Multimodality •  Stream mining •  Semantic analysis •  Machine learning •  Information extraction •  Linked Data •  Data discovery •  ‘Whole world’ semantics •  Ecosystems •  Community data analysis •  Cross-sectorial data analysis •  Data Quality •  Trust / Provenance •  Annotation •  Data validation •  Human-Data Interaction •  Top-down/Bottom-up •  Community / Crowd •  Human Computation •  Curation at scale •  Incentivisation •  Automation •  Interoperability •  In-Memory DBs •  NoSQL DBs •  NewSQL DBs •  Cloud storage •  Query Interfaces •  Scalability and Performance •  Data Models •  Consistency, Availability, Partition- tolerance •  Security and Privacy •  Standardization •  Decision support •  Prediction •  In-use analytics •  Simulation •  Exploration •  Visualisation •  Modeling •  Control •  Domain-specific usage
  • 9. 9European Data Forum 2014 BIG 318062 BIG Big Data Public Private Forum TECHNICAL WORKGROUP APPROACH Senior   Academic   Senior   Management   Middle   Researcher   Middle   Management   Position  in  Organisation   University   MNC   SME   Other   Types  of  Organisations   1.  Literature & Technical Survey 2.  Subject Matter Expert Interviews 3.  Stakeholder Workshops 4.  Online Questionnaire (with NESSI) •  Early adopters •  Business enablement •  Technical maturity •  Key Opinion Leaders Methodology Interviewee Breakdown Target Interviewee
  • 10. 10European Data Forum 2014 BIG 318062 BIG Big Data Public Private Forum 10 BIG 318062 SUBJECT MATTER EXPERT INTERVIEWS
  • 11. 11European Data Forum 2014 BIG 318062 BIG Big Data Public Private Forum 11 BIG 318062 WORKING GROUP RESULTS Interviews and Technical White Papers available on: http://www.big-project.eu Expert Interviews Technical Whitepapers ▶ Executive Overview ▶ Key Insights ▶ Social & Economic Impact ▶ Concise State of the Art ▶ Future Requirements & Emerging Trends ▶ Sector-specific Case Studies Next versions released in April
  • 12. 12European Data Forum 2014 BIG 318062 BIG Big Data Public Private Forum 12 BIG 318062 KEY INSIGHTS Key Trends ▶  Lower usability barrier for data tools ▶  Blended human and algorithmic data processing for coping with for data quality ▶  Leveraging large communities (crowds) ▶  Need for semantic standardized data representation ▶  Significant increase in use of new data models (i.e. graph) (expressivity and flexibility) ▶  Much of (Big Data) technology is evolving evolutionary ▶  But business processes change must be revolutionary ▶  Data variety and verifiability are key opportunities ▶  Long tail of data variety is a major shift in the data landscape The Data Landscape ▶  Lack of Business-driven Big Data strategies ▶  Need for format and data storage technology standards ▶  Data exchange between companies, institutions, individuals, etc. ▶  Regulations & markets for data access ▶  Human resources: Lack of skilled data scientists Biggest Blockers Technical White Papers available on: http://www.big-project.eu
  • 13. 13European Data Forum 2014 BIG 318062 BIG Big Data Public Private Forum TECHNICAL WORKING GROUP LEADERS Data Acquisition Data Analysis Data Curation Data Storage Data Usage Axel Ngonga ngonga@infor matik.uni- leipzig.de John Domingue john.domingue @open.ac.uk Edward Curry ed.curry@der i.org Martin Strohbach MStrohbach@agtin ternational.com Tilman Becker becker@dfki.de ▶ Join the bigdatavalue.eu mailing list @BIG_FP7 http://big-project.eu/ info@big-project.eu