towards a big data public private partnership
DESCRIPTION
Building an industrial community around Big Data in Europe is the priority of the BIG: Big Data Public Private Forum project. In this workshop we will present the work of the project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies, and the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations. BIG is working towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of Big Data research and innovation, while also providing a major boost for technology adoption and supporting actions for the successful implementation of the Big Data economy.TRANSCRIPT
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European Data Forum 2014
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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
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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
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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.
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„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
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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
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THE BIG DATA VALUE CHAIN Edward Curry, National University of Ireland Galway European Data Forum, Athens, 20 February 2014
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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
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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
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SUBJECT MATTER EXPERT INTERVIEWS
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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
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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
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TECHNICAL WORKING GROUP LEADERS
Data Acquisition
Data Analysis
Data Curation
Data Storage
Data Usage
Axel Ngonga [email protected]
John Domingue [email protected]
Edward Curry [email protected]
Martin Strohbach [email protected]
Tilman Becker [email protected]
▶ Join the bigdatavalue.eu mailing list @BIG_FP7
http://big-project.eu/