Presentation: RETHINKbig, by Consuelo Gonzalo Martin, Universidad Politecnica de Madrid (Spain), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna

1. www.rethinkbig-project.eu
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 619788.
RETHINK big Project
Consuelo GONZALO MARTÍN
UNIVERSIDAD POLITÉCNICA DE MADRID
15th September 2015
European Data Economy
Workshop-Focus Data Value
Chain & Big and Open Data

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Outline
Overview
Partners
Motivation
Objectives
Strategy
Activities
Results
Final Event

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Rethink big Project Overview
The Project:
Coordination and Support Action (CSA), 2-year.
Coordinated by BSC,
Start: 1 Mar 2014
The Mission:
To deliver a strategic roadmap for how European technology
advancements in hardware, networking and algorithms can be
exploited for Big Data analytics, in the next 10 years.
INDUSTRY-DRIVEN

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Rethink big Project Overview
The Partners

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Motivation
0.0
10.0
20.0
30.0
40.0
World Wide Big Data
Market Forecast
EUR Billion
Big Data a fast growing market
with impact on diverse sectors
Sectors/Domains Big Data Value
Public administration
EUR 150 billion to EUR 300 billion in new
value (Considering EU 23 larger governments)
Healthcare & Social
Care
EUR 90 billion considering only the reduction
of national healthcare expenditure in the EU
Utilities
Reduce CO2 emissions by more than 2
gigatonnes, equivalent to EUR 79 billion
Transport and
Logistics
USD 500 billion in value worldwide in the form
of time and fuel savings, or 380 megatonnes of
CO2 emissions saved
Retail & Trade
60% potential increase in retailers’ operating
margins possible with Big Data
Geospatial
USD 800 billion in revenue to service
providers and value to consumer and business
end users
Applications &
Services
USD 51 billion worldwide directly associated
to Big Data market (Services and applications)
Big Data market is growing six times
faster than the overall ICT market
(source IDC)
Big Data is becoming a key economic
asset:
“Big Data is the new oil”
(EU – N. Kroes)

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Motivation
Ensure Europe’s leading role in the data-
driven world
addressing competitiveness, innovation, and
society
covering the all aspects of Big Data Value
Data
Skills
Legal
Technical
Application
Business
Social

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Motivation: The world in 2020
– A world in which an open data ecosystem of big
opportunities is possible as open innovation has been
unleashed:
• Open data is available
• Both big companies and SMEs can provide solutions
• Both big companies and SMEs can benefit of the solutions
• Development to provide open innovative solutions is possible
• Cross sectorial solutions are available
– Hardware and networking have evolved
– Software construction has adapted to these
changes

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Overall Objective
To bring together the key European
hardware, networking, and system architects
with the key producers and consumers of
Big Data to identify the industry coordination
points that will maximize European
competitiveness in the processing and
analysis of Big Data over the next 10 years.

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Project Objectives
To identify and evaluate the existing
competencies across European Big Data
Hardware and Networking technology sectors
and application domains
To prioritize the complementary interests and
the shared opportunities to unlock the highest
return on their respective investments
Resulting in a roadmap that would be
irrational not to follow.

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Rethink Big Strategy[1]
Diagnose Policy Plan Actions
[1] Good Strategy Bad Strategy: The Difference and Why it Matters Richard Rumelt

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First Working Group Meeting: 18,19 Sep 2014
SME
16
Large Company
12
Research
Institution
6
Project /
Programme
2
Academic
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Objectives: Identify challenges across European Big Data sectors,
Develop a shared language, Engage key strategists
Attendees: 70 Experts from 49 Organizations, 38 External
INDUSTRY PARTICIPANTS INCLUDED:
Users
THALES, AIRBUS,
Boehringer-Ingleheim,
AGT International,
Capgemini, Cloud&Heat,
The Unbelievable Machine Company,
NextWorks
Providers
ARM, THALES,
Alcatel Lucent Bell Labs,
Telefonica, T-Systems, Bull,
TT Tech, Lacie (Seagate),
Kalray, Okkam

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Which Big Data hardware and
networking-related technical
weaknesses or problems prevent you
from carrying out your business
successfully or keep you up at night?

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8 working Groups
• Technological areas
• Conventional and Unconventional Hardware Architectures,
Process
• Distributed Architectures, Devices, Sensors, Memory and
Storage Systems
• Frameworks, Software Models, Algorithms and Data Structures,
Visualization
• Networks
• Application areas
• Bussines, Finance and Information
Marketplaces
• Fundamental Sciences and Engineering Applications
• Health
• IoT, Manufacturing 4.0, Automotive, Social Media, Cloud and
telco Infrastructures

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2nd Working Group Meeting: 9,10 Dec. 2014
Objectives: to synthesize findings so far and analyzing
the hardware and networking situation for Big Data in
Europe
Attendees: Around 30 partners and external experts
participated from seven European countries,
representing both those researching and producing the
Big Data infrastructure and those who rely on it for their
research or business objectives.

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SWOT
Strengths
Research and Scientific Competence and Expertise in key
technological areas
Vertical market leadership
One of the two leading CPU architectures is European
European industrial leaders
Big ‘Media and Entertainment Players’.
Flourishing Start-Up and SME Culture.
Top-level Financial-technology
European ‘Big Science’
Excellent support in infrastructure
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SWOT
Opportunities
Disruptive and non-Von Neumann computing architectures could change the configuration of
industry.
The European predilection toward strong privacy protections in addition to security of data and
services could drive “killer” security technologies.
The need for standardization and interoperability is an opportunity to influence industry
development
There is a need for new algorithms and for smart abstractions
I/O communication between systems is becoming the new challenge for large scale
applications.
We do not yet know what life after Moore’s Law will look like, but we have the chance to shape
it.
The complexity of new systems will require smart runtimes in order to use resources in the
most efficient manner possible.
The current trend of one-size-fits-all architecture solutions cannot be sustained. There is an
opportunity to better balance hardware architecture form versus software function.
Europe’s current embedded and sensor industry advantages provide a strong start toward
leadership in emerging IoT-related markets.
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SWOT
Weaknesses
Lack of control over major parts of the industrial
Value Chain
Lack of strategic focus
Lack of large project budgets (unlike in better
integrated economies)
Lack of experience with the needs of large-scale
organizations (due to the small number of large
pan-European organizations)
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SWOT
Threats
Other regions dominate the major parts of the Value Chain.
Brain drain from Europe to other regions
Lack of venture capital to compete with U.S. funding
Exodus of most successful SMEs to U.S. and beyond
Project and research funding schemes of other regions are
better able to support larger and / or long-term projects
Europe maintains higher labor costs in certain manufacturing
bases
Not enough of a concentration of large organizations that can
drive hardware business needs and not enough interest from
remaining large organizations.
Foreign trade barriers impede European development
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2nd Working Group Meeting: 9,10 Dec. 2014
Conclusions:
While Europe may not be less competitive in software and co-
design, it holds a leading position in hardware areas such as
embedded systems and device design.
Software areas such as algorithms and data analytics, domain-
specific expertise were also perceived strengths.
Opportunities identified include distributed computing,
leveraging datasets and real-time analytics.
Europe benefits from strong political leadership in this field and
the funding to facilitate scaling, although securing cooperation
between its vast patchwork of SMEs may prove challenging.
Complex bureaucracy and legal frameworks in Europe mean
that other regions may move faster to capitalize on such
openings.

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Approaching Industry Stakeholders
Getting to company strategists 1:1 Interviews Interviews + Survey
MEETING PARTICIPANTS TO BE INTERVIEWED
TO BE CONTACTED
(AGAIN)
Users
THALES, AIRBUS,
Boehringer-Ingleheim,
AGT International,
Capgemini, Cloud&Heat,
Incredible Machine Company,
NextWorks
Philips, Unilever,
Repsol, BMW, Siemens,
2ndQuadrant,
Parstream,…
Spotify, TomTom,
Yandex,
McLaren Automotive,
Rolls Royce
BP, Carrefour …
Providers
ARM, THALES,
Alcatel Lucent Bell Labs,
Telefonica, T-Systems, Bull
TT Tech, Lacie (Seagate),
Kalray, Okkam
SAP (Hana),
ST Micro, Optalysys,
Telefónica, THALES, …
Maxeller, Mellanox, …

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Project Synergies
Strengthening ties to related projects:

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Outcomes
A roadmap that …
• is detailed, realistic and verifiable;
• includes coordinated technology development recommendations that
would be in the best interest of European Big Data companies to
undertake in concert as a matter of competitive advantage;
• takes into consideration the known Hardware and Networking
challenges of performance and scalability, bandwidth and latency
limitations, energy efficiency, reliability, and security;
• takes into consideration the known Big Data-related challenges of
variety, velocity, volume and veracity;
• accounts for other key enabling technologies from non-Big Data
industry and research that might bring disruptive solutions into Big
Data;
• facilitates the creation of new international standards, as required.
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Final Event
The roadmap will be presented at the
Rethinkbig Final Event to be held in Barcelona in
February 2016.
You are all invited to participate!!!
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Thank you
www.RETHINKbig-project.eu