RETHINK big Project. European Data Economy Workshop-Focus Data Value Chain & Big and Open Data

Transcription

1 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 This project has received funding from the European Union s Seventh Framework Programme for research, technological development and demonstration under grant agreement no

2 2 Outline Overview Partners Motivation Objectives Strategy Activities Results Final Event

3 3 Rethink big Project Overview INDUSTRY-DRIVEN 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.

4 4 Rethink big Project Overview The Partners

5 5 Motivation Big Data a fast growing market with impact on diverse sectors Big Data is becoming a key economic asset: Big Data is the new oil 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) (EU N. Kroes) Big Data market is growing six times faster than the overall ICT market (source IDC) World Wide Big Data Market Forecast

6 6 Motivation Ensure Europe s leading role in the data-driven world addressing competitiveness, innovation, and society covering the all aspects of Big Data Value Skills Social Legal Data Business Technical Application

7 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

8 8 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.

9 9 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.

10 Rethink Big Strategy[1] [1] Good Strategy Bad Strategy: The Difference and Why it Matters Richard Rumelt

11 11 First Working Group Meeting: 18,19 Sep 2014 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 Provider s ARM, THALES, Alcatel Lucent Bell Labs, Telefonica, T-Systems, Bull, TT Tech, Lacie (Seagate), Kalray, Okkam

12 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? 12

13 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 13 Bussines, Finance and Information Marketplaces Fundamental Sciences and Engineering Applications Health IoT, Manufacturing 4.0, Automotive, Social Media, Cloud and telco Infrastructures

14 14 2nd Working Group Meeting: 9,10 Dec 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.

15 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 15

16 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. 16

17 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) 17

18 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 18

19 19 2nd Working Group Meeting: 9,10 Dec Conclusions: While Europe may not be less competitive in software and codesign, it holds a leading position in hardware areas such as embedded systems and device design. Software areas such as algorithms and data analytics, domainspecific 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.

20 20 Approaching Industry Stakeholders Getting to company strategists MEETING PARTICIPANTS 1:1 Interviews Interviews + Survey TO BE INTERVIEWED TO BE CONTACTED (AGAIN) THALES, AIRBUS, Boehringer-Ingleheim, User AGT International, s Capgemini, Cloud&Heat, Incredible Machine Company, NextWorks Spotify, TomTom, Philips, Unilever, Yandex, Repsol, BMW, Siemens, McLaren Automotive, 2ndQuadrant, Parstream, Rolls Royce BP, Carrefour ARM, THALES, Prov Alcatel Lucent Bell Labs, ider Telefonica, T-Systems, Bull s TT Tech, Lacie (Seagate), Kalray, Okkam SAP (Hana), ST Micro, Optalysys, Telefónica, THALES, Maxeller, Mellanox,

21 21 Project Synergies Strengthening ties to related projects:

22 Outcomes A roadmap that 22 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.

23 Final Event The roadmap will be presented at the Rethinkbig Final Event to be held in Barcelona in February You are all invited to participate!!! 23

24 24 Thank you