The Big Data Value Strategic Research and Innovation Agenda Version 2.0 Prof. Dr. Milan Petkovi ć , Vice President BDVA, Philips www.bdva.eu 08.07.16 1
Big Data Public Private Partnership European Commission EU and Industry Contractual Grant Agreement AssociaHon proposes Arrangement per project agreed on a research objecHves cPPP to conduct Stakeholder Community strategic Big Big Data Projects Big Data Value within Horizon 2020 AssociaHon Data Value • Industry driven, Defines • Projects running within 2017 research and Research and InnovaHon – 2021 Agenda, Specifies Key • Expected Total Funding innovation Performance Indicators ~ 500 MEUR Stakeholders Large Research SMEs End users … Industry community www.bdva.eu 08.07.16 2
Who is behind BDVA? Board members (from: hXp://www.bdva.eu/?q=board-members) www.bdva.eu 08.07.16 3
When is Data ‘Big’ for BDVA? A bet for Value Volume Velocity Variety Veracity Value € € € € € € € € Data in Doubt Data into Data at Rest Data in Data in Many Money Mo@on Forms Uncertainty due to data inconsistency & Terabytes to Structured, Business models can Streaming data, incompleteness, exabytes of exis@ng unstructured, text, be associated to the requiring mseconds to ambigui@es, latency, data to process mul@media,… data respond decep@on Adapted by a post of Michael Walker on 28 November 2012 www.bdva.eu 08.07.16 4
Goals of BDVA Boost European BIG DATA research, development and innovation by: strengthening competitiveness and ensuring industrial leadership promoting the widest and best uptake of BIG DATA technologies and services establishing the excellence of the science base in the field of BIG DATA www.bdva.eu 08.07.16 5
BDVA focus points 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 (Lighthouses - large scale pilots) Innovation : Create impactful research results www.bdva.eu 08.07.16 6
BDVA internal activities Organiza@on TF1: Programme: Contributing to the H2020 Programme content of the BDV PPP TF2: Impact: Maintain the various KPIs defining the expected Impact of BDV PPP TF3: Community: Big data community engagement and participation TF4: Communication: Communication plan for creating awareness around the BDVA TF5: Legal: Bridge Big Data technology with legal and policy matters TF6: Technical: Identifying and refining the technical challenges of the programme – eg Data Management TF7: Application: Domain usage group which can influence others – eg Telecoms TF8: Business: Examining the business and economic influences and business areas TF9: Societal: Examining the societal impact on business, citizens TF10: Skills and Education: What skills are needed for the next knowledge workers www.bdva.eu 08.07.16 7 TF0: Administrative and strategic activities requested by BDVA GA/BOD
Inclusion Organiza@on TF3: Community TF4: CommunicaHon www.bdva.eu 08.07.16 8
Block your agenda: BDVA Summit (29 Nov-2Dec) www.bdva.eu 08.07.16 9
BDVA internal activities Efficiency TF1: Programme TF1.SG4: i-Spaces TF1.SG4-D1: DescripHon of BDV PPP Instruments: Lighthouse projects and i- Spaces TF1.SG4-D2:Survey of exisHng i-Spaces within Europe and Globally TF1.SG4-D3: IdenHficaHon of CriHcal Success Factors for i-Spaces TF1: Programme: Contributing to the H2020 Programme content of the BDV PPP TF2: Impact: Maintain the various KPIs defining the expected Impact of BDV PPP TF3: Community: Big data community engagement and participation TF4: Communication: Communication plan for creating awareness around the BDVA TF5: Legal: Bridge Big Data technology with legal and policy matters TF6: Technical: Identifying and refining the technical challenges of the programme – eg Data Management TF7: Application: Domain usage group which can influence others – eg Telecoms TF8: Business: Examining the business and economic influences and business areas TF9: Societal: Examining the societal impact on business, citizens TF10: Skills and Education: What skills are needed for the next knowledge workers www.bdva.eu 08.07.16 10 TF0: Administrative and strategic activities requested by BDVA GA/BOD
i-Spaces - big data innovation ecosystems Efficiency Data Sources – Data Access • Private & Industrial • Open Data • Secure / Confidential Environment Infrastructures for Data Access • Hardware • Platforms (OSS – Proprietary) • Scientific Personal • Access and Support for Test/Trials/ Validation Data integration challenges • Many formats • Different quality Network/Federation • Collaboration • Best practices • Standardization Bring Data Owners and Data Innovators together Skills / Training • Tools /Methods In secure, precompeHHve, controlled • • Data scientists = IT & Domain environment • Interdisciplinary From „proof of concept“ to „proof of ROI“ to • create value www.bdva.eu 08.07.16 11
I-Spaces will deliver: Efficiency Improve Data Availability for Innovation • Controlled access to industrial and private data assets Support Cross-Domain Data Integration • Simplify data analytics carried out over datasets from different companies and sectors • Shorten time to market for new products and services across sectors Incubate and Support Data Experimentation • Participation of SMEs and web entrepreneurs • Support testing and benchmarking of technologies, applications, and business models. www.bdva.eu 08.07.16 12
BDVA internal activities Proof points TF7: ApplicaHons TF7.SG1: Emerging applica@on domains TF7.SG2: Telecom TF1: Programme: Contributing to the H2020 Programme content of the BDV PPP TF2: Impact: Maintain the various KPIs defining the expected Impact of BDV PPP TF7.SG3: Healthcare TF3: Community: Big data community engagement and participation TF7.SG4: Geo/space TF4: Communication: Communication plan for creating awareness around the BDVA TF5: Legal: Bridge Big Data technology with legal and policy matters TF6: Technical: Identifying and refining the technical challenges of the programme – eg Data Management TF7: Application: Domain usage group which can influence others – eg Telecoms TF8: Business: Examining the business and economic influences and business areas TF9: Societal: Examining the societal impact on business, citizens TF10: Skills and Education: What skills are needed for the next knowledge workers www.bdva.eu 08.07.16 13 TF0: Administrative and strategic activities requested by BDVA GA/BOD
Lighthouses: Adoption of big data by industrial sectors Proof points Demonstrate increase of produc@vity/compe@@veness of the target sector Integrate the European Open Data Portal as Data • Demonstrate Big Data Value in a Provider in a new target industrial sector Ecosystem. • Large-scale data-driven demonstraHons Europe spends about 10% of • Propose replicable solu@ons by its GDP on Healthcare using exisHng technologies or very US$3.24 trillion spent on Healthcare in the US in 2015 near to market technologies European Health insurance market worth €119bn in 2014 • Create high level impact and Volume of healthcare data: 153 broadcast visibility exabytes in 2013 to 2314 exabytes by 2020 www.bdva.eu 08.07.16 14
BDVA internal activities Innova@on TF1: Programme TF6: Technical TF1: Programme: Contributing to the H2020 Programme content of the BDV PPP TF2: Impact: Maintain the various KPIs defining the expected Impact of BDV PPP TF3: Community: Big data community engagement and participation TF4: Communication: Communication plan for creating awareness around the BDVA TF5: Legal: Bridge Big Data technology with legal and policy matters TF6: Technical: Identifying and refining the technical challenges of the programme – eg Data Management TF7: Application: Domain usage group which can influence others – eg Telecoms TF8: Business: Examining the business and economic influences and business areas TF9: Societal: Examining the societal impact on business, citizens TF10: Skills and Education: What skills are needed for the next knowledge workers www.bdva.eu 08.07.16 15 TF0: Administrative and strategic activities requested by BDVA GA/BOD
BDV SRIA Technical Priorities Innova@on Data Management Deliver new Big Data technology allowing for deep Data Processing Architectures analytics capacities on data- at-rest and data-in-motion while providing sufficient Data Analytics privacy guarantees , optimized user experience support and a Data Protection sound data engineering framework. Data Visualization and User Experience www.bdva.eu 08.07.16 16
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