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Big Data Public Private Forum



Big Data Public Private Forum (BIG)
       Edward Curry (DERI)
    European Data Forum 2013
        Project co-funded by the European
        Commission within the 7th Framework
        Program (Grant Agreement No. 257943)
Motivation                                                                                    BIG
                                                                         Big Data Public Private Forum




                     Technology Adoption Lifecycle




 Rogers, Everett M. (1962). Diffusion of Innovations. Glencoe: Free Press. ISBN 0-612-
 62843-4.
Motivation                                                         BIG
                                              Big Data Public Private Forum



   Early Adopters                Early Majority
    (Visionaries)                (Pragmatists)




                        • Survey of 750 European senior IT
   Michael Gorriz CIO
                          decision makers
                        • Only ¼ have explored and made a
                          successful business case for big data
   European Data        • 7% see as a current priority
   Innovator 2013
                        • 62% believe a priority within 3 years
The BIG Project                                                          BIG
                                                    Big Data Public Private Forum




                      Overall objective
   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.
   Work at technical, business and policy levels, shaping the
      future through the positioning of IIM and Big Data
                 specifically in Horizon 2020.
Key facts about BIG-project                                   BIG
                                         Big Data Public Private Forum




▶   Type of project: CSA
▶   Project start date: September 2012
▶   Duration: 26 months
▶   Call: FP7-ICT-2011-8
▶   Effort: 552,5 PM
▶   Budget: 3,038 M€
▶   Max EC contribution: 2,499 M€
▶   Consortium: 11 partners
Goals and Objectives                                                   BIG
                                                  Big Data Public Private Forum




• BIG aims to promote a well-developed EU industrial
  landscape in Big Data
 – Providing a clear picture of existing Big Data technology
   trends and their maturity

 – Acquire a understanding of how Big Data can be applied
   to innovative use cases within different sectors

 – Foster adoption of current Big Data technology solutions

 – Contribute to EU competitiveness and position in
   Horizon 2020

 – Building a self-sustainable industry-led initiative beyond
   the project duration
Major Activities                                                       BIG
                                                  Big Data Public Private Forum




      Identification   ▶Requirements and use cases from all
        of Sector’s     Sectors
        requisites        ▶Industry-driven Sector Forums


      Applicability    ▶Big Data technologies and its
       of Big Data      capabilities
       technology         ▶Technical Working Groups



      Elaboration of   ▶Sectorial roadmaps
        Roadmap        ▶Cross-sectorial integrated roadmap
BIG: project structure                                                                                                    BIG
                                                                                                     Big Data Public Private Forum




                                           Industry driven working groups

                                                                                                    Manufacturing,
                                                         Finance &          Telco, Media &
           Health             Public Sector                                                         Retail, Energy,
                                                         insurance          Entertainment
                                                                                                      Transport

                                                 Needs                Supply


                                                        Value Chain

                                  Data                      Data                  Data                     Data
     Data acquisition
                                 analysis                 curation               storage                   usage
                          • Data preprocessing
 •    Structured data                                                                           •   Decision support
                          • Semantic analysis     •   Trust
 •    Unstructured Data                                                   • RDBMS limitations   •   Decision making
                          • Sentiment analysis    •   Provenance
 •    Event processing                                                    • NOSQL               •   Automatic steps
                          • Other features        •   Data augmentation
 •    Sensors networks                                                    • Cloud storage       •   Domain-specific
                            analysis              •   Data validation
 •    Streams                                                                                       usage
                          • Data correlation

                                                      Technical areas
Subject Matter Expert Interviews                                   BIG
                                              Big Data Public Private Forum




Interviews available on: http://www.big-project.eu/blog




 10.04.13                                 9
GETting Involved in BIG…                                                  BIG
                                                     Big Data Public Private Forum




• Participate in Subject Matter Expert Interviews
 – Technical Experts
 – Corporate Strategic Decision Makers (CIO & CTO)
 – One-on-One Engagement (Face-to-Face, Email, Phone, etc.)


• Become Associate Partner
 – Access to internal project discussion
 – Early access to project results (whitepapers, roadmaps, etc)


• Collaboration on Dissemination Events
 – EDF co-organisation
 – What is the key Big Data event
    in your Industry?
Timeline of the most important deliverables                                                     BIG
                                                                           Big Data Public Private Forum




Q2/2013                                                                                          Q2/2013
                                   D2.2.1             D2.3.1
Initial Technical White Papers                                           Initial Sector’s requisites
                                             D4.2.1                                              Q3/2013
Q4/2013                                                               Initial IPR, Standardization
Initial                                                                         recommendations
                                                      D2.4.1
Big Data Public-Private Forum      D4.3.1
                                                                                                 Q3/2013
Q1/2014                                     D2.2.2                      Initial Sector´s Roadmap
Final Technical white paper
                                                                                                 Q2/2014
Q2/2014                          D4.2.2               D2.3.2
                                                                                   Final version of
Final version of IPR,                                                            Sectors requisites
Standardization
recommendations                                                D2.5                              Q4/2014
                                                                        Cross-sectorial roadmap
                                                                                  consolidation
Contact Details                                                                         BIG
                                                                   Big Data Public Private Forum




Sector Forum                   Leader          Contact
Health                         Sonja Zillner   sonja.zillner@siemens.com
Public                         Ricard Munné    ricard.munne@atosresearch.eu
Telco, Media & Entertainment   Helen Lippell   helen.lippell@pressassociation.com
Finance & Insurance            Pedro Soria     pedro.soria@atosresearch.eu
Manufacturing, Retail,         Tilman Becker   sebnem.rusitschka@siemens.com
Energy, Transport


Technical Working Group        Leader          Contact
Data Acquisition               Axel Ngonga     ngonga@informatik.uni-leipzig.de
Data Analysis                  John Domingue   john.domingue@open.ac.uk
Data Curation                  Edward Curry    ed.curry@deri.org
Data Storage                   Herman Ravkin   hravkin@agtinternational.com
Data Usage                     Tilman Becker   becker@dfki.de

                         http://www.big-project.eu/
BIG can help you be the next….                                      BIG
                                               Big Data Public Private Forum




                European Data Innovator 2014
                European Data Innovator 2015
                European Data Innovator 2016
                             ….

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Big Data Public Private Forum (BIG) @ European Data Forum 2013

  • 1. Big Data Public Private Forum Big Data Public Private Forum (BIG) Edward Curry (DERI) European Data Forum 2013 Project co-funded by the European Commission within the 7th Framework Program (Grant Agreement No. 257943)
  • 2. Motivation BIG Big Data Public Private Forum Technology Adoption Lifecycle Rogers, Everett M. (1962). Diffusion of Innovations. Glencoe: Free Press. ISBN 0-612- 62843-4.
  • 3. Motivation BIG Big Data Public Private Forum Early Adopters Early Majority (Visionaries) (Pragmatists) • Survey of 750 European senior IT Michael Gorriz CIO decision makers • Only ¼ have explored and made a successful business case for big data European Data • 7% see as a current priority Innovator 2013 • 62% believe a priority within 3 years
  • 4. The BIG Project BIG Big Data Public Private Forum Overall objective 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. Work at technical, business and policy levels, shaping the future through the positioning of IIM and Big Data specifically in Horizon 2020.
  • 5. Key facts about BIG-project BIG Big Data Public Private Forum ▶ Type of project: CSA ▶ Project start date: September 2012 ▶ Duration: 26 months ▶ Call: FP7-ICT-2011-8 ▶ Effort: 552,5 PM ▶ Budget: 3,038 M€ ▶ Max EC contribution: 2,499 M€ ▶ Consortium: 11 partners
  • 6. Goals and Objectives BIG Big Data Public Private Forum • BIG aims to promote a well-developed EU industrial landscape in Big Data – Providing a clear picture of existing Big Data technology trends and their maturity – Acquire a understanding of how Big Data can be applied to innovative use cases within different sectors – Foster adoption of current Big Data technology solutions – Contribute to EU competitiveness and position in Horizon 2020 – Building a self-sustainable industry-led initiative beyond the project duration
  • 7. Major Activities BIG Big Data Public Private Forum Identification ▶Requirements and use cases from all of Sector’s Sectors requisites ▶Industry-driven Sector Forums Applicability ▶Big Data technologies and its of Big Data capabilities technology ▶Technical Working Groups Elaboration of ▶Sectorial roadmaps Roadmap ▶Cross-sectorial integrated roadmap
  • 8. BIG: project structure BIG Big Data Public Private Forum Industry driven working groups Manufacturing, Finance & Telco, Media & Health Public Sector Retail, Energy, insurance Entertainment Transport Needs Supply Value Chain Data Data Data Data Data acquisition analysis curation storage usage • Data preprocessing • Structured data • Decision support • Semantic analysis • Trust • Unstructured Data • RDBMS limitations • Decision making • Sentiment analysis • Provenance • Event processing • NOSQL • Automatic steps • Other features • Data augmentation • Sensors networks • Cloud storage • Domain-specific analysis • Data validation • Streams usage • Data correlation Technical areas
  • 9. Subject Matter Expert Interviews BIG Big Data Public Private Forum Interviews available on: http://www.big-project.eu/blog 10.04.13 9
  • 10. GETting Involved in BIG… BIG Big Data Public Private Forum • Participate in Subject Matter Expert Interviews – Technical Experts – Corporate Strategic Decision Makers (CIO & CTO) – One-on-One Engagement (Face-to-Face, Email, Phone, etc.) • Become Associate Partner – Access to internal project discussion – Early access to project results (whitepapers, roadmaps, etc) • Collaboration on Dissemination Events – EDF co-organisation – What is the key Big Data event in your Industry?
  • 11. Timeline of the most important deliverables BIG Big Data Public Private Forum Q2/2013 Q2/2013 D2.2.1 D2.3.1 Initial Technical White Papers Initial Sector’s requisites D4.2.1 Q3/2013 Q4/2013 Initial IPR, Standardization Initial recommendations D2.4.1 Big Data Public-Private Forum D4.3.1 Q3/2013 Q1/2014 D2.2.2 Initial Sector´s Roadmap Final Technical white paper Q2/2014 Q2/2014 D4.2.2 D2.3.2 Final version of Final version of IPR, Sectors requisites Standardization recommendations D2.5 Q4/2014 Cross-sectorial roadmap consolidation
  • 12. Contact Details BIG Big Data Public Private Forum Sector Forum Leader Contact Health Sonja Zillner sonja.zillner@siemens.com Public Ricard Munné ricard.munne@atosresearch.eu Telco, Media & Entertainment Helen Lippell helen.lippell@pressassociation.com Finance & Insurance Pedro Soria pedro.soria@atosresearch.eu Manufacturing, Retail, Tilman Becker sebnem.rusitschka@siemens.com Energy, Transport Technical Working Group Leader Contact Data Acquisition Axel Ngonga ngonga@informatik.uni-leipzig.de Data Analysis John Domingue john.domingue@open.ac.uk Data Curation Edward Curry ed.curry@deri.org Data Storage Herman Ravkin hravkin@agtinternational.com Data Usage Tilman Becker becker@dfki.de http://www.big-project.eu/
  • 13. BIG can help you be the next…. BIG Big Data Public Private Forum European Data Innovator 2014 European Data Innovator 2015 European Data Innovator 2016 ….

Editor's Notes

  1. Diffusion of innovation bell curve by Ridgers Describes a Technology Adoption Lifecycle
  2. We have found the visionaries Bu what but what about the Early Majority??
  3. Project Officer Stefano
  4. Notes for Point 1: The strategic importance of Big Data technology From Intelligent Information Management in general to Big Data in particular. Aligned with the new unit called G3 Data Value Chain. Push European Big Data research and innovative technologies: to contribute in increasing the European competitiveness and materializing opportunities in the Big Data domains.
  5. Initial White papers will be released in Q2 Sectors Roadmap Q3 Public Private Forum Launched Q4 this year. The key point is that NOW is the time to engage the project