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

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. 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. 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. 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. 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. 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. 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. 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. 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. 27-4-2017 10www.bdva.eu
Who is behind BDVA?
And many more....
An Industry-led growing European
community with over 160 members

11. 27-4-2017 11www.bdva.eu
We believe in the power of collaborations…..

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. 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. 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. 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. 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. 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. 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. 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. 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. 27-4-2017 21www.bdva.eu
Big Data PPP projects – started January 2017 (1/2)

22. 27-4-2017 22www.bdva.eu
Big Data PPP projects – started January 2017 (2/2)

23. 27-4-2017 23www.bdva.eu
We believe in the power of collaborations…..

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