towards a big data public private partnership

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

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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 ngonga@informatik.uni-leipzig.de

John Domingue john.domingue@open.ac.uk

Edward Curry ed.curry@deri.org

Martin Strohbach MStrohbach@agtinternational.com

Tilman Becker becker@dfki.de

▶ Join the bigdatavalue.eu mailing list @BIG_FP7

http://big-project.eu/

info@big-project.eu