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BDE-BDVA Webinar: Arne Berre and Ana Garcia slides for BDVA/BDE Webinar

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Ana Garcia Robles and Arne Berre slides for joint BDE/BDVA Webinar 2017-04-27 "Towards A Common Vision"

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BDE-BDVA Webinar: Arne Berre and Ana Garcia slides for BDVA/BDE Webinar

  1. 1. 27-4-2017 1www.bdva.eu Ana García Robles, BDVA Secretary General (secretarygeneral@core.bdva.eu) Arne J. Berre, SINTEF, Leader of BDVA TF6 Technical Priorities (Arne.J.Berre@sintef.no) Big Data Value Association Big Data Value PPP @BDVA_PPP #BigData
  2. 2. 27-4-2017 2www.bdva.eu The Big Data Value PPP (BDV PPP) Europe must aim high and mobilise stakeholders in society, industry, academia and research to enable a European Big Data Value economy, supporting and boosting agile business actors, delivering products, services and technology, while providing highly skilled data engineers, scientists and practitioners along the entire Big Data Value chain. This will result in an innovation ecosystem in which value creation from Big Data flourishes. To achieve these goals, the European contractual Public Private Partnership on Big Data Value (BDV PPP) was signed on 13 October 2014. This signature marks the commitment by the European Commission, industry and academia partners to build a data-driven economy across Europe, mastering the generation of value from Big Data and creating a significant competitive advantage for European industry, boosting economic growth and jobs. The Big Data Value Association (BDVA) is the private counterpart to the EU Commission to implement the BDV PPP program. • Work Programme 2015-2017: Big Data PPP Call 2 – finished April 25th, 2017 • Work Programme 2018-2020: Will be issued in the fall of 2017 Main events, November 2017: ICT Proposer's day: Budapest, November 9-10 BDVA Summit / EDF, European Data Forum: Paris, November 20-23
  3. 3. 27-4-2017 3www.bdva.eu • Work together to organize an IMPACTFUL program • Efficiency: Further develop the EU big data ecosystem (i-Spaces) • Proof points: Demonstrate the impact of Big Data and show the value in Lighthouse projects • Innovation: Create impactful research results Big Data Value PPP (BDV PPP):  Create value out of the data!  Boost European Big Data research and innovation  Strengthen competitiveness and ensuring industrial leadership
  4. 4. 27-4-2017 4www.bdva.eu Big Data Value PPP (BDV PPP) Big Data Value eCosystem project (BDVe) BDE (Big Data Europe) CSA project From Horizon 2020 call 1 in 2015 BDVA
  5. 5. 27-4-2017 5www.bdva.eu Big Data Value PPP vision for Europe in 2020 Data: Zettabytes of useful public and private data will be widely and openly available. Much of this data will yield valuable information. Extracting this information and using it in intelligent ways will revolutionize decision-making in businesses, science, and society, enhancing companies’ competitiveness and leading to new industries, jobs and services. Skills: Millions of jobs will have been established for data engineers and scientists, and the Big Data discipline is integrated into technical and business degrees. The European workforce is more and more data-savvy seeing data as an asset. Legal: Privacy & Security can be guaranteed along the Big Data Value chain. Data sharing and data privacy can be fully managed by citizens in a trusted data ecosystem. Technology: Real-time integration and interoperability among different multilingual, sensorial, and non-structured datasets is accomplished, and content is automatically managed and can be visualised in real-time. By 2020, European research and innovation efforts will have led to advanced technologies that make it significantly easier to use Big Data across sectors, borders and languages. Application: Applications using the BDV technologies can be built which will allow anyone to create, use, exploit and benefit from Big Data. By 2020, thousands of specific applications and solutions will address data-in-motion and data-at-rest. There will be a highly secure and traceable environment supporting organisations and citizens and having the capacity to support various monetization models. Business: A true EU single data market will be established allowing EU companies to increase their competitiveness and become world leaders. By 2020 Value creation from Big Data will have a disruptive influence on many sectors. From manufacturing to tourism, from healthcare to education, from energy to telecommunications services, from entertainment to mobility, Big Data Value will be a key success factor in fueling innovation, driving new business models, and supporting increased productivity and competitiveness. Societal: Societal challenges are addressed through BDV systems, addressing the high data volume, the high motion of data, the high variety of data, etc. * Particular Big Data Europe (BDE contribution areas)
  6. 6. 27-4-2017 6www.bdva.eu The Big Data Value Association AISBL (BDVA) is an Industry-driven and fully self- financed international non–for-profit organisation under Belgian law. BDVA has over 170 members all over Europe with a well-balanced composition of large and small and medium-sized industries as well as research and user organizations. BDVA is open to new members to further enrich the data value ecosystem and play an active role. These include Data Users, Data Providers, Data Technology Providers and Researchers. The Big Data Value Association (BDVA) is the private counterpart to the EU Commission to implement the BDV PPP programme. Objectives:  Create value out of the data!  Strengthen competitiveness and ensuring industrial leadership  Boost European Big Data research and innovation
  7. 7. 27-4-2017 7www.bdva.eu BDVA SRIA: Strategic Research and Innovation Agenda The Strategic Research and Innovation Agenda (SRIA) defines the overall goals, main technical and non-technical priorities, and a research and innovation roadmap for the European contractual Public Private Partnership (cPPP) on Big Data Value. The SRIA explains the strategic importance of Big Data, describes the Data Value Chain and the central role of Ecosystems, details a vision for Big Data Value in Europe in 2020, analyses the associated strengths, weaknesses, opportunities and threats, and sets out the objectives and goals to be accomplished by the cPPP within the European research and innovation landscape of Horizon 2020 and at national and regional levels Latest Version: Big Data Value Strategic Research and Innovation Agenda (BDV SRIA) version 3.0 has been released on January 2017. We are working on SRIA version 4.0
  8. 8. 27-4-2017 8www.bdva.eu Big Data PPP aims at the development of an interoperable data-driven ecosystem as a source for new businesses and innovations using Big Data. To achieve the BDV SRIA has defined four implementation mechanisms i-Spaces (Innovation Spaces) are cross-organization, cross-sector and interdisciplinary Spaces to anchor targeted research and innovation projects. They offer secure accelerator-style environments for experiments for private data and open data, bringing technology and application development together. I-Spaces will act as incubators for new businesses and the development of skills, competence and best practices. Lighthouse projects are large-scale data-driven innovation and demonstration projects that will create superior visibility, awareness and impact. Technical priorities: These will take up specific Big Data issues addressing targeted aspects of the technical priorities Cooperation & coordination projects: These projects will foster international cooperation for efficient information exchange and coordination of activities i-Spaces Lighthouse projects Technical priorities Cooperation & coordination projects
  9. 9. 27-4-2017 9www.bdva.eu BDVA members 24 44 64 81 92 111 119 123 134 140 145 150 159 168 175 11/1/14 2/1/15 5/1/15 8/1/15 11/1/15 2/1/16 5/1/16 8/1/16 11/1/16 2/1/17 BDVA members - Growth Academia / Research 45% Industry large 17% Industry SME 31% Others 7%
  10. 10. 27-4-2017 10www.bdva.eu Who is behind BDVA? And many more.... An Industry-led growing European community with over 160 members
  11. 11. 27-4-2017 11www.bdva.eu We believe in the power of collaborations…..
  12. 12. 27-4-2017 12www.bdva.eu TF3: Community HPC – Big Data TF1: Programme TF2: Impact TF4: Communication TF5: Policy & Societal Policy & Societal TF6: Technical TF6-SG1: Data Management TF6-SG2: Data Processing Architectures TF6-SG3: Data Analytics TF6-SG4: Data Protection and Pseudonymisation Mechanisms TF6-SG5: Advanced Visualisation and User Experience TF6-SG6: Standardisation TF7: Application TF7-SG1: Emerging Application Areas TF7-SG2: Telecom TF7-SG3: Healthcare TF7-SG4: Media TF7-SG5: Earth observation & geospatial TF7-SG6: Smart Manufacturing Industry TF7-SG7: Mobility and Logistics TF7-SG8: Smart Cities TF8: Business TF8-SG1: Data entrepreneurs (SMEs and startups) TF8-SG2: Transforming traditional business (Large Enterprise) TF8-SG3: Observatory on Data Business Models TF9: Skills and Education TF9.SG1: Skill requirements from European industries TF9SG2: Analysis of current curricula related to data science TF9.SG3: Liaison with existing educational projects BDVA is taking care… of many different aspects of the big data Arne J. Berre
  13. 13. 27-4-2017 13www.bdva.eu Big Data Value Reference Model (High level) Data Protection Engineering & DevOps + Cyber Security Standards Data Processing Architectures Batch, Interactive, Streaming/Real-time Data Visualisation and User Interaction 1D, 2D, 3D, 4D, VR/AR Data Analytics Descriptive, Diagnostic, Predictive, Prescriptive Data Management Collection, Preparation, Curation, Linking, Access Infrastructure Cloud, Communication (5G), HPC, IoT/CPS BigDataPriorityTechAreas Sectors, Applications, Cross-cutting functions Builds on
  14. 14. 27-4-2017 14www.bdva.eu Time series, IoT Geo Spatio Temp Media Image Audio Text NLP Web Graph BDVA Reference Model (Detailed model) Struct data/ BI Stand ards Data Processing Architectures Batch, Interactive, Streaming/Real-time Data Visualisation and User Interaction 1D, 2D, 3D, 4D, VR/AR Data Analytics Descriptive, Diagnostic, Predictive, Prescriptive Machine Learning and AI, Statistics, Data Management Collection, Preparation, Curation, Linking, Access DB types: SQL, NoSQL (Document, Key-Value, Coloum, Array,Graph, …) (Existing) Infrastructure, other PPPs Cloud, Communication (5G), HPC, IoT/CPS BigDataPriorityTechAreasSectors: Manufacturing, Health, Energy, Media, Telco, Finance, EO, SE .. Builds on Engi neering & DevOps (NESSI) + Cyber Security PPP Data Protection, Anonymisation, … Big data Types & semantics Proposal for discussion for BDVA AG meeting in May, 2017
  15. 15. 27-4-2017 15www.bdva.eu Data Management Challenges: Semantic annotation of unstructured and semi-structured data Semantic interoperability Data quality Data management lifecycle and data governance Integration of data and business processes Data-as-a-service Distributed trust infrastructures for data management Outcome: Data quality , data quality governance, data provenance Data-as-a-Service (DaaS) model and paradigm Integration of analytics Semantic interoperability Unstructured and semi-structured data. Data Protection Standards Data Processing Architectures Data Visualisation and User Interaction Data Analytics Data Management Infrastructure
  16. 16. 27-4-2017 16www.bdva.eu Data Processing Architectures Challenges: Heterogeneity Scalability Processing of data-in-motion and data-at-rest Decentralisation Performance Outcome: Techniques and tools for processing real-time heterogeneous data sources Scalable and dynamical data approaches Real-time architectures for data-in-motion Decentralised architectures Efficient mechanisms for storage and processing Data Protection Standards Data Processing Architectures Data Visualisation and User Interaction Data Analytics Data Management Infrastructure
  17. 17. 27-4-2017 17www.bdva.eu Data Analytics Challenges: Semantic and knowledge-based analysis Content validation Analytics frameworks & processing Advanced business analytics and intelligence Descriptive, diagnostic analytics Predictive and prescriptive analytics Machine learning/AI, Deep learning Outcome: Improved models and simulations Semantic analysis Event and pattern discovery Multimedia (unstructured) data mining Deep Learning for BI Data Protection Standards Data Processing Architectures Data Visualisation and User Interaction Data Analytics Data Management Infrastructure
  18. 18. 27-4-2017 18www.bdva.eu Data Visualisation and User Interaction Challenges: Visual data discovery Interactive visual analytics of multiple scale data Collaborative, intuitive, and interactive visual interfaces Interactive visual data exploration and querying in a multi-device context Outcome: Scalable Data Visualization Approaches and Tools Collaborative, 3D and Cross-Platform Data Visualization Frameworks New Paradigms for Visual Data Exploration, Discovery, and Querying Personalized End-User Centric Data Reusable Visualization Components Domain-specific Data Visualization Approaches Data Protection Standards Data Processing Architectures Data Visualisation and User Interaction Data Analytics Data Management Infrastructure
  19. 19. 27-4-2017 19www.bdva.eu Data Protection Challenges: Generic, easy to use, and enforceable data protection approach Robust data privacy Risk based approaches Outcome: Complete data protection framework Mining algorithms Robust anonymisation algorithms Protection against reversibility Multiparty mining / pattern hiding Data Protection Standards Data Processing Architectures Data Visualisation and User Interaction Data Analytics Data Management Infrastructure
  20. 20. 27-4-2017 20www.bdva.eu Standards Idenitification of current and potential standards in all of the areas of the BDVA reference model Input to, and interaction with, relevant standardisation organisations - ISO/IEC JTC1 WG9 Big Data Standard, W3C, CEN, ETSI, … Harmonising Reference models and architectures Barriers between industries and sectors should be minimised Standardising Semantics in Big Data Standards that define data quality and foster normalization of data acquisition to reduce variability, increase value of data repositories and help trusted decisions Cross Sector Data can sometimes also cross languages barriers. Support for projects which further progress linguistic standardisation is required. Standards activities should be carried out taking into account other initiatives for example the Big Data Europe (BDE) platform, AIOTI and RAMI 4.0 etc Data Protection Standards Data Processing Architectures Data Visualisation and User Interaction Data Analytics Data Management Infrastructure
  21. 21. 27-4-2017 21www.bdva.eu Big Data PPP projects – started January 2017 (1/2)
  22. 22. 27-4-2017 22www.bdva.eu Big Data PPP projects – started January 2017 (2/2)
  23. 23. 27-4-2017 23www.bdva.eu We believe in the power of collaborations…..
  24. 24. 27-4-2017 24www.bdva.eu THANK YOU Further Information: BDVA: http://www.bdva.eu/ info@core.bdva.eu @BDVA_PPP #Bigdatavalue #Bigdata Arne.J.Berre@sintef.no Ana Garcia: secretarygeneral@core.bdva.eu

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