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Helen Lippell, Press Association and Sonja Zillner, Siemens
European Data Forum, Athens, 20 February 2014
▶Aims of the sector forums:
▶Understand the state-of-the-art
▶Identify gaps and opportunities for Europe
▶Provide industrial leadership to engage stakeholders
▶Develop Big Data application scenarios
▶Investigate and capture sector needs and requisites
BIG COVERS MAJOR INDUSTRIAL
SECTORS, WITH NEEDS RIGHT ACROSS
THE BIG DATA VALUE CHAIN
Health Public Sector
Finance &
Insurance
Telco, Media&
Entertainment
Manufacturing,
Retail, Energy, T
ransport
Needs Offerings
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, Availabil
ity, Partition-
tolerance
• Security and Privacy
• Standardization
• Decision support
• Prediction
• In-use analytics
• Simulation
• Exploration
• Visualisation
• Modeling
• Control
• Domain-specific
usage
SECTOR FORUM ACTIVITIES -
OVERVIEW
Identification
of sectors’
requisites
Applicability
of Big Data
technology to
each sector
Elaboration of
consolidated
sector roadmap
▶Requirements and objectives from
each sector
▶Big Data technologies and their
capabilities, in conjunction with:
▶Technical Working Groups
▶Technical White Papers
▶Roadmap for each sector
▶Contributing towards an
integrated roadmap (cross-
sectorial)
▶Interviews
▶Webinars
▶Questionnaires and surveys
▶Dissemination at events
▶Desk-based research
▶Digital channels
▶Compiling industrial use cases
▶ Massive opportunities available to those who can exploit
them…
▶ …but many businesses playing ‘wait and see’
▶ Some sectors already advanced in Big Data usage
▶ Big Data technologies enable exploitation of existing and
future data sets and streams
▶ Regulatory framework may be a blocker for data access
▶ Data sharing and interoperability (both within and
between organisations) is a common issue
▶ Skills and training gap may hold Europe back
▶ Collaboration between Press Association and Insight Centre
▶ Jointly analysed business objectives, workflows, technologies
▶ PA competing in a complex, fast-moving media landscape
▶ Processing and creating many heterogeneous data assets
▶ Key takeaways:
▶ Great potential in combining algorithmic and human curation approaches
▶ High quality curated data is a significant competitive advantage
▶ Data variety and velocity important for media
▶ Ecosystem of technologies is emerging
Get involved in the SRIA process:
▶Give us your business cards
▶Visit us at the EDF exhibition (stand 3)
▶Tweet us @BIG_FP7
▶Keep an eye on our website http://www.big-project.eu/
▶Join the bigdatavalue.eu mailing list

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EDF2014: BIG - NESSI Networking Session: Helen Lippell, Press Association and Sonja Zillner, Siemens: The BIG Project-Sector Forums overview

  • 1. Helen Lippell, Press Association and Sonja Zillner, Siemens European Data Forum, Athens, 20 February 2014
  • 2. ▶Aims of the sector forums: ▶Understand the state-of-the-art ▶Identify gaps and opportunities for Europe ▶Provide industrial leadership to engage stakeholders ▶Develop Big Data application scenarios ▶Investigate and capture sector needs and requisites
  • 3. BIG COVERS MAJOR INDUSTRIAL SECTORS, WITH NEEDS RIGHT ACROSS THE BIG DATA VALUE CHAIN Health Public Sector Finance & Insurance Telco, Media& Entertainment Manufacturing, Retail, Energy, T ransport Needs Offerings 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, Availabil ity, Partition- tolerance • Security and Privacy • Standardization • Decision support • Prediction • In-use analytics • Simulation • Exploration • Visualisation • Modeling • Control • Domain-specific usage
  • 4. SECTOR FORUM ACTIVITIES - OVERVIEW Identification of sectors’ requisites Applicability of Big Data technology to each sector Elaboration of consolidated sector roadmap ▶Requirements and objectives from each sector ▶Big Data technologies and their capabilities, in conjunction with: ▶Technical Working Groups ▶Technical White Papers ▶Roadmap for each sector ▶Contributing towards an integrated roadmap (cross- sectorial)
  • 5. ▶Interviews ▶Webinars ▶Questionnaires and surveys ▶Dissemination at events ▶Desk-based research ▶Digital channels ▶Compiling industrial use cases
  • 6. ▶ Massive opportunities available to those who can exploit them… ▶ …but many businesses playing ‘wait and see’ ▶ Some sectors already advanced in Big Data usage ▶ Big Data technologies enable exploitation of existing and future data sets and streams ▶ Regulatory framework may be a blocker for data access ▶ Data sharing and interoperability (both within and between organisations) is a common issue ▶ Skills and training gap may hold Europe back
  • 7. ▶ Collaboration between Press Association and Insight Centre ▶ Jointly analysed business objectives, workflows, technologies ▶ PA competing in a complex, fast-moving media landscape ▶ Processing and creating many heterogeneous data assets ▶ Key takeaways: ▶ Great potential in combining algorithmic and human curation approaches ▶ High quality curated data is a significant competitive advantage ▶ Data variety and velocity important for media ▶ Ecosystem of technologies is emerging
  • 8. Get involved in the SRIA process: ▶Give us your business cards ▶Visit us at the EDF exhibition (stand 3) ▶Tweet us @BIG_FP7 ▶Keep an eye on our website http://www.big-project.eu/ ▶Join the bigdatavalue.eu mailing list

Notes de l'éditeur

  1. Cover a number of sectors, grouped into 5 working groupsGroups work closely with technical experts from each part of the value chainHealth – Siemens, Public Sector – Atos, Finance – Atos, Telco, media – Atos and PA, Manufacturing, Retail, Energy, Transport - DFKI
  2. First deliverable – sector requisitesSecond – draft roadmap, with a forward-looking perspective