Society 4.0 (R)Evolution of Society?

Size: px
Start display at page:

Download "Society 4.0 (R)Evolution of Society?"

Transcription

1 Society 4.0 (R)Evolution of Society? Förderschwerpunkt-Tagung Innovationsfähigkeit im demografischen Wandel Aachen, 8 th May 2014 Univ.-Prof. Dr. rer. nat. Sabina Jeschke Institute Cluster IMA/ZLW & IfU Faculty of Mechanical Engineering RWTH Aachen University

2 Outline 2 I. The Drivers: From Industry 4.0 to Everything 4.0 From Science Fiction, its realization its interconnection with big data over to its technological consequences II. Consequences: Selected Impressions of a Society 4.0 Economy Social Trends Culture Infrastructure & Mobility Technology III. Summary und Next Steps

3 The fourth industrial (r)evolution Industry Everybody and everything is networked 3 The first three industrial revolutions came about as a result of mechanisation, electricity and IT. The introduction of the Internet of Things is ushering in a fourth industrial revolution. Industry 4.0 will address and solve some of the challenges facing the world today such as resource and energy efficiency, urban production and demographic change. Henning Kagermann et.al., acatech, 2013 Vision of Wireless Next Generation System (WiNGS) Lab at the University of Texas at San Antonio, Dr. Kelley Weidmüller, Vision Industrial Revolution 4.0 Intelligently networked, self-controlling manufacturing systems local to global local to global around 1750 around 1900 around 1970 today 1 st industrial revolution Mechanical production systematically using the power of water and steam Power revolution Centralized electric power infrastructure; mass production by division of labor Digital revolution Digital computing and communication technology, enhancing systems intelligence Information revolution Everybody and everything is networked networked information as a huge brain

4 The fourth industrial (r)evolution The drivers. Communication technology bandwidth and computational power Semantic technologies information integration Embedded systems miniaturization Watson Google Car 2012 Towards intelligent and (partly-) autonomous systems AND systems of systems around 1750 around 1900 around st industrial revolution Mechanical production systematically using the power of water and steam Power revolution Centralized electric power infrastructure; mass production by division of labor Digital revolution Digital computing and communication technology, enhancing systems intelligence today Information revolution Everybody and everything is networked networked information as a huge brain

5 Cyber-Physical Systems Towards complex and networked social-technical systems 5 let s have a look Communication Consumer Energy Infrastructure Health Care Manufacturing Military Robotics Transportation [CAR2CAR, 2011] and [ConnectSafe, 2011]

6 The fourth industrial (r)evolution Not restricted to industry: Cyber Physical Systems in all areas 6 Back to: The earth converted into a huge brain (Tesla 1926) Integrating complex information from multiple heterogenous sources opens multiple possibilities of optimization: e.g. energy consumption, security services, rescue services as well as increasing the quality of life Building automation Smart metering Smart grid Room automation Smart environment and more

7 Scientific challenges and achievements Two worlds coming together 7 Physical world Cyber-physical Digital world Manufacturing process Embedded Systems Material behavior Simulation Automation Unique Identifier Semantics Things Internet Service-oriented Closed System controllable and partly predictable by simulation CPS Open System difficult to control or to predict system behavior IOT

8 In search of a definition Let s ask Google 8 Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis and visualization. Big Data refers to technologies and initiatives that involve data that is too diverse, fastchanging or massive for conventional technologies, skills and infrastructure to address efficiently. Said differently, the volume, velocity or variety of data is too great. But today, new technologies make it possible to realize value from Big Data. Every day, we create 2.5 quintillion bytes of data - so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.

9 A bit of a jump into the deep end Google Flu: predicting future (predicting the spread of diseases) 9 It all started with the flu [Google Correlate 2011] actual flu trend can be identified 7-10 days earlier by Google Flu Trends than by official data of the Center for Disease Control (CDC) [Helft 2008]

10 A bit of a jump into the deep end Pandemics: exploring new patterns of complex scenarios 10 A circle-model to foresee and to analyze pandemics [Brockmann and Helbing 2013] Computational work conducted at Northwestern University has led to a new mathematical theory for understanding the global spread of epidemics. [ScienceDaily 2013] The spreading takes place on the worldwide air transportation network of more than 4000 airports and direct links. [Brockmann/Helbing 2013] Is the spread of infectious diseases complex, or does it look just complex? [Erickson 2013] Using data of flights, trains, etc. the cities are rearranged. Result is simple: a circular wave that produces a stone in the water. Here: distances of places and countries adjusted depending on the flight connections

11 A bit of a jump into the deep end Predicting human behavior: transparent consumers 11 How Target figured out a teen girl was pregnant before her father did Unique Target Id Each interaction with retailer is assigned to that id Group of pregnant customers Customer Coupon campaign Customer profiles Clustering customers into groups, for example to identify disruptions in life (e. g. weddings, job changes and pregnancy) Andrew Pole Statistician working for Target Pole identified about 25 products that allowed him to assign each customer a pregnancy prediction score and the estimated due date

12 A look ahead Roboter Recruiting : Don't call us, we'll call you 12 in more and more companies, computer algorithms are part of the employment of new workers [Handelsblatt 03/2014]! CV data are combined with success data of the particular company or field Germany: about 40% USA: > 90% Great developers are everywhere, and Gild can prove it. on Fairness? different mental models between human and computer software based selection is incapable of analyzing true motivation, extraordinary engagement etc. Talents might be overlooked / lost But: Selection shows a higher degree of equal opportunities regarding gender, age, culture, etc. Selection shows a higher degree of tolerance in respect of disruptions in the CV

13 Outline 13 I. The Drivers: From Industry 4.0 to Everything 4.0 From Science Fiction, its realization its interconnection with big data over to its technological consequences II. Consequences: Selected Impressions of a Society 4.0 Economy Social Trends Culture Infrastructure & Mobility Technology III. Summary und Next Steps

14 Societal trends in Society 4.0 Digital natives entering the scene 14 Jerry King, The Digital Native Adressing pictures of the French poet Charles Baudelaire: When teens turn to networked publics, they do so to hang out with friends and be recognized by peers. They share in order to see and be seen., but how much they share is shaped by how public they want to be. They are, in effect, digital flâneurs. [Danah Boyd, 2014] Zur, O. & Zur, A. (2011): On Digital Immigrants and Digital Natives nstitute.com/dig ital_divide.html Thinking and sensing VirtuaLive Telepresence, Teliris scanned reading picture-oriented virtuality-approved Learning game-based learning used to fast feedback Social life networked community-oriente Less attached to one company, one field, Working habits multi-tasking non-linear approach tech-savvy

15 Societal trends in Society 4.0 New business ecosystems are growing 15 Hybrid Organizations - Creation of the fourth sector Organizations which does not fit into the traditional categories public (government), private (business), and social (non-profit) sectors Partly: born digital Partly: born global New potential for growth through new value-chain partnerships around a globalized world Adress a variety of societal challenges, engagement as enabler for services Examples here: Challenges for hybrid organizations Complexity of management models New business-models examples: Globalization Personalization Pay by the hour Legal Structure Organizational Culture & Talent Development Public / private partnership Private Sector Sponsorship / partnership Social entrepreneurship Civic / social sector Public Sector Tania Ellis, The New Pioneers, Wiley 2010 Service delivery

16 Economical trends in Society 4.0 Crowdsourcing giving way for new cooperation forms 16 Crowdsourcing Crowdsourcing is the act of taking a job traditionally performed by a designated agent (usually an employee) and outsourcing it to an undefined, generally large group of people in the form of an open call. Jeff Howe, 2012 Crowdsourcing.org! Various categories: Collective Knowledge Creative Content-Marketplace Open Innovation & Ideas Crowdfunding Engagement & Charity Example: InnoCentive (exchange-place to solve research-problems) New forms of employment: traditional forms of permanent positions will change Growing need for cross-company networks

17 Economical trends in Society 4.0 Knowledge Orientation and the creative class 17 Knowledge Based Economy! New global knowledge elite the creative class Rising levels of education around the world and lifelong-learning Data and knowledge based value creation (Open and Closed) innovation as a key driver and competition factor Potential for new social disequilibria Potential for new social schisms One new driver: Internet of Services Most innovative companies base on User-driven connection of IT-services (Salesforce.com) Life-transforming products (Alexion) Est. volume until 2025: over 20 billion Enabling new forms of cooperation Especially potential for SME as service provider for bigger companies Web-based services and functions shown as granular software components Combination of these services and functions on demand enabling ad hoc complex solutions

18 Economical trends in Society 4.0 New production paradigms and new consumption patterns 18 Individualization on production level! Shifts in consumer spending/preferences Individualized products Growing collaborative consumption Catch-up consumption in newly industrialized countries Hybrid and virtual models Production partly leaving the factory hall Rapid prototyping Small batch series, e.g. spare parts. 3D-Printing as flexible manufacturing process Shortening of value chains Reduction of stocks Higher flexibility in design and on-demand production

19 Societal trends in Society 4.0 Living in Health Health 4.0 A connected scenario focusing on prevention and fitness Smart Data as enabler Analysis of anonymized patient data Development of empirical and evidence based treatments New way of cooperation New business models beyond healthcare Analysis of sensor data rises to interdisciplinary questions Wireless diabets management system Cellnovo [ Get Mobile, Get Healthy: The Appification of Health and Fitness by Mobiquity / Research Now] Leading to a quantified self Study: 53%: eating more calories than realized 73% more healthy because they use apps to track health/fitness 63% intend to continue or increase their mobile health tracking over the next 5years

20 Societal trends in Society 4.0 Individualization on all levels 20 Globalized Individualization!!! Personal level: Complex biographies and identities Educational level: Support of individual learning styles Shift in learning models as e.g. by more hybrid fields of study, Bologna, MOOC etc. Work level: A large variety of profiles for the future world of work A large variety of job profiles Technological Level: Smart systems all around Economical Level: DIY economies Individual Products: leading from mass markets to micro markets and postponement production Solving the scale scope dilemma of production through Industry 4.0

21 Technology Design in Society 4.0 New work world with new players on board 21 New Working World! Highly flexible working practices New ergonomical, managerial and organisational patterns Digitalisation of the world of work Collaborative methods of working Advances in automation Enhanced human robot cooperation Contribution to demographic change Technical world New phase of automation technology Robots outside fences/cages Mobile robotics Robots in everyday life Globalized organizations Structures above geographical distances Globalized virtual communication Human resource management Active Sourcing 4.0 New recruiting structures à la Amazon IT-supported recruiting Shift from permanently employed to temporarily employed Organizational functioning New types of organizations New ways of performance and success measurement Centered on the human as social being Public leadership of employees

22 Technology Design in Society 4.0 Towards a transparent technology: organic computing 22 following social systems and biological models Hardware Division of labor Macro-scale Automation Micro-scale Multi-Core Learning form nature: Natural paradigms as key characteristics of innovation in hardware, software, algorithms, procedures, behaviour Software Service oriented Agentbased Speech Multimodal communication modes Touch! Bionics enter design and technology Decentralisation of complex scenarios Peer2peer designs in technology, symmetrical actor-network concepts Sustainability and resource-efficience in architecture, automotive lightweight, Facial sciencedirect.com Emotion Fraunhofer IOSB Affective Computing Michael S. Ryoo, CalTech

23 Energy technology in Society 4.0 Beyond traditional energy conversion: energy harvesting 23 Energy Harvesting Using residual energy from the environment Multiple kinds of energy harvesting: photovoltaic, kinetic, thermoelectric! Examples: wireless autonomous sensors and other devices, biomedical implants from environment and machines up to human energy harvesting Indefinitely operation of sensor nodes Several future scenarios and their use cases: Thermo electric harvesting Piezo electric harvesting Wave harvesting

24 Outline 24 I. The Drivers: From Industry 4.0 to Everything 4.0 From Science Fiction, its realization its interconnection with big data over to its technological consequences II. Consequences: Selected Impressions of a Society 4.0 Economy Social Trends Culture Infrastructure & Mobility Technology III. Summary und Next Steps

25 Summary Demographic Change other changes in society 25! Changes of society in comparison System-speed determined by the fastest (or: most critical) subsystem Influence on society Long-term perspective? Influence of demographical change to the overall system?? Smart Data 3D virtual production Industry 4.0 / Internet of Things Demographic change Time

26 Summary Society 4.0 Evolution of Interconnected Consciousness 26 Up to now Version 4.0 Scharner: From Ego-system to Eco-system Economies: How to Build Collective Leadership Capacity (2012) Connected Eco-System Social Market Collective and awareness State Centric Networking as central aspect Regulation and hierachy Community - System Focus on own community Community Global awareness

27 Summary Everything 4.0: Not only a scientific and/or technological challenge 27 Diversity Young to old, able and disabled, rich and poor, literate and illiterate, Expectations 24/7 availability, 100% reliability, 100% connectivity, instantaneous response, store anything and everything forever Privacy Individual private levels, context-situative Science Society How can we provide people and society with Cyber-Physical Systems they can trust? Technology Challenges Boundaries are unknown and always changing Complex systems are unpredictable (How) can we build systems that interface between the cyber world and the physical world? Ideally, with predictable, or at least adaptable behavior. Adapted from [CPS Summit, 2008]

28 Summary Research 4.0 : Cybernetics as a way to handle complex systems 28! Cybernetics - Management of Uncertainty Handling of uncertainties resulting from internal processes, changing environment and highly time-dependent processes is a core issue in organizational and system design. on the way to a learning system Analysis of interdependencies Multiple recurrence levels Iterative feedback loops Self-regulation Experimental approach 1. Starting experiments, 2. Tight result sensorics, 3. If necessary: fast re-adjusting Renunciation from a master plan Enabling culture! Culture of fault tolerance!

29 Summary Education 4.0: Leading to new models in science and education 29 QSR International, Education 4.0 The innovation and development of Cyber- Physical Systems will require computer scientists and network professionals to work with experts in various disciplines. This, [ ], will revolutionize how universities educate engineers and scientists. [Rajkumar, Cyber-Physical Systems: the next computing revolution, 2010] Partnership for 21st Century Skills: 21st Century Skills, Education & Competitiveness A Resource and Policy Guide (2008) Thinking critically and making judgements Solving complex, multidisciplinary, open-ended problems 21 st Century skillset Making innovative use of knowledge and information Communicating and collaborating Creativity and entrepreneurial thinking Global communication, global thinking

30 30 Thank you for your Attention! Univ.-Prof. Dr. rer. nat. Sabina Jeschke Head of Institute Cluster IMA/ZLW & IfU phone: Co-authored by: Dipl.-Ing. Thomas Thiele Research Group Knowledge Engineering phone: Markus Kowalski M.Sc. Research Group Knowledge Engineering phone:

31 Prof. Dr. rer. nat. Sabina Jeschke Born in Kungälv/Schweden 1991 Birth of Son Björn-Marcel Studies of Physics, Mathematics, Computer Sciences, TU Berlin 1994 NASA Ames Research Center, Moffett Field, CA/USA 10/1994 Fellowship Studienstiftung des Deutschen Volkes 1997 Diploma Physics Research Fellow, TU Berlin, Institute for Mathematics Lecturer, Georgia Institute of Technology, GA/USA Project leadership, TU Berlin, Institute for Mathematics 04/2004 Ph.D. (Dr. rer. nat.), TU Berlin, in the field of Computer Sciences from 2004 Set-up and leadership of the Multimedia-Center at the TU Berlin Juniorprofessor New Media in Mathematics & Sciences & Director of the Media-center MuLF, TU Berlin Univ.-Professor, Institute for IT Service Technologies (IITS) & Director of the Computer Center (RUS), Department of Electrical Engineering, University of Stuttgart since 06/2009 Univ.-Professor, Institute for Information Management in Mechanical Engineering (IMA) & Center for Learning and Knowledge Management (ZLW) & Institute for Management Cybernetics (IfU), RWTH Aachen University since 10/2011 Vice dean of the department of Mechanical Engineering, RWTH Aachen University since 03/2012 Chairwoman VDI Aachen

32 References 32 [Alberti, 2011] [BMI, 2011] [Gleich, 2010] [Grimme, 2012] Elisa Alberti, Smart Mobility Vision Report Deliverable of the Project Smart Metropolitan Areas Realised Through Innovation & People, 2011 Federal Ministry of the Interior, Demography Report - Federal Government Report on the Demographic Situation and Future Development of Germany, Rostock, Gleich et al., PricewaterhouseCoopers AG Wirtschaftsprüfungsgesellschaft, European Business School Geschäftsmodellinnovationen - Neue Wege am Markt beschreiten, Grimme-Institut, Gesellschaftg für Medien, Bildung und Kultur, Im Blickpunkt: Crowd Sourcing Marl, [Malone, 2013] Thomas W. Malone, MIT Center for Collective Intelligence, The future of work: How can we create more intelligent organizations? [ISI, 2006] Steffen Kinkel, Gunther Lay, Fraunhofer Institut System- und Innovationsforschung Technologietrends in der Produktion, Karlsruhe, [PTIDES] last visited on 22 th February 2013 [WBCSD, 2010] World Business Council for Sustainable Development; Vision 2050 Neue Agenda für Unternehmen, [Weller, 2013] Ingo Weller, Digitalisierung und Vernetzung: Chancen und Potentiale für Mitarbeiter und Human Resource Management, Presentation at the conference Münchener Kreis - Fachtagung Oktober 2013 München, [VDI, 2011] Wolfgang Luther et al., VDI Technologiezentrum, Nanotechnologie in der Natur Bionik im Betrieb Düsseldorf, [VDI, 2012] VDI Positionspapier, Zukunft der Bionik - Interdisziplinäre Forschung stärken und Innovationspotenziale nutzen, [Z_punkt] Z_punkt The foresight company, MEGATRENDS update.

33 Research on an Interdisciplinary Sandwich with Changing Paradigms Cyber Physical Systems alias Industry Embedded systems miniaturization Semantic technologies - representing the field of artificial intelligence information integration Communication technology bandwidth and computational power Physical world Cyber-physical Digital world Reactivity Schedulability Diagram adopted from R. Alur, Uni. Penn Material beyond nature Time Concepts in Computer Sciences CPS Bottom up vs. Top down Living with ABB Bionic Principles IOT

34 Two Worlds coming together Everything 4.0: The Big Data Connection 34 Distributed Systems Big data - Volume AI Distributed sources SMART Distributed storage Distributed computing Velocity Distributed Artificial Intelligence Real-time capability Autonomy Variety Veracity Social media data DISTRIBUTED DS Natural language analysis Prediction Smart data Artificial Intelligence

ehumanities From big data and digital technologies to new and/or enhanced methods in humanities and social sciences

ehumanities From big data and digital technologies to new and/or enhanced methods in humanities and social sciences ehumanities From big data and digital technologies to new and/or enhanced methods in humanities and social sciences ICT-Workshop ehumanities Aachen, Germany, April 9 th, 2014 Univ.-Prof. Dr. rer. nat.

More information

Big Data. On Distributed Systems to a Distributed Artificial Intelligence. Aachener Dienstleistungsforum Aachen, Germany, March 26 th, 2014

Big Data. On Distributed Systems to a Distributed Artificial Intelligence. Aachener Dienstleistungsforum Aachen, Germany, March 26 th, 2014 Big Data On Distributed Systems to a Distributed Artificial Intelligence Aachener Dienstleistungsforum Aachen, Germany, March 26 th, 2014 Univ.-Prof. Dr. rer. nat. Sabina Jeschke IMA/ZLW & IfU Faculty

More information

Digital (R)evolution and Demographic Change

Digital (R)evolution and Demographic Change Digital (R)evolution and Demographic Change A Random Correlation and Its Potentials 3. Förderschwerpunkt Tagung Impulse und Perspektiven für Demografie Berlin, January 23 rd, 2015 Univ.-Prof. Dr. rer.

More information

Engineering Education for Industry 4.0 Challenges, Chances, Opportunities

Engineering Education for Industry 4.0 Challenges, Chances, Opportunities Engineering Education for Industry 4.0 Challenges, Chances, Opportunities Univ.-Prof. Dr. rer. nat. Sabina Jeschke IMA/ZLW & IfU Faculty of Mechanical Engineering RWTH Aachen University World Engineering

More information

Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank

Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement»

More information

Big Data. On Distributed Systems to a Distributed Artificial Intelligence. Food for Financials Maastricht, The Netherlands, June 10 th, 2014

Big Data. On Distributed Systems to a Distributed Artificial Intelligence. Food for Financials Maastricht, The Netherlands, June 10 th, 2014 Big Data On Distributed Systems to a Distributed Artificial Intelligence (Extended Version incl. Some Banking and Financial Market Aspects) Food for Financials Maastricht, The Netherlands, June 10 th,

More information

An Implementation of Active Data Technology

An Implementation of Active Data Technology White Paper by: Mario Morfin, PhD Terri Chu, MEng Stephen Chen, PhD Robby Burko, PhD Riad Hartani, PhD An Implementation of Active Data Technology October 2015 In this paper, we build the rationale for

More information

Engineering Education and Quality in Teaching

Engineering Education and Quality in Teaching Engineering Education and Quality in Teaching Dr. rer. nat. Frank Hees Valerie Stehling M.A. Aachen, 21. Juli 2011 Institute Cluster IMA/ZLW & IfU PD Dr. phil. Ingrid Isenhardt Prof. Dr. rer. nat. Sabina

More information

Everything 4.0? Drivers and Challenges of Cyber Physical Systems

Everything 4.0? Drivers and Challenges of Cyber Physical Systems Everything 4.0? Drivers and Challenges of Cyber Physical Systems Forschungsdialog Rheinland Invited Talk Wuppertal, December 4th, 2013 Univ.-Prof. Dr. rer. nat. Sabina Jeschke IMA/ZLW & IfU Faculty of

More information

From Big Data to Smart Data Thomas Hahn

From Big Data to Smart Data Thomas Hahn Siemens Future Forum @ HANNOVER MESSE 2014 From Big to Smart Hannover Messe 2014 The Evolution of Big Digital data ~ 1960 warehousing ~1986 ~1993 Big data analytics Mining ~2015 Stream processing Digital

More information

ERÖFFNUNG DES INNOVATIONSZENTRUMS ADAPTSYS

ERÖFFNUNG DES INNOVATIONSZENTRUMS ADAPTSYS ERÖFFNUNG DES INNOVATIONSZENTRUMS ADAPTSYS Cyber Physical Systems Sicherheit für eine Welt im Wandel Harald Pötter RF & Smart Sensor Systems Cyber Physical Systems Sicherheit für eine Welt im Wandel Agenda

More information

Industry 4.0 Vision to Reality Siemens AG 2015 siemens.com

Industry 4.0 Vision to Reality Siemens AG 2015 siemens.com Alan Norbury Siemens UK Industrial CTO Industry 4.0 Vision to Reality siemens.com Future of Manufacturing - Video http://www.siemens.co.uk/future-of-manufacturing Page 2 Industry 4.0.moving into a fourth

More information

Industrie 4.0. Towards a Holistic Approach for Cyber Safety and Security

Industrie 4.0. Towards a Holistic Approach for Cyber Safety and Security Industrie 4.0 Towards a Holistic Approach for Cyber Safety and Security Prof. Dr.-Ing. Reiner Anderl Marco Grimm, M.Sc. Datenverarbeitung in der Konstruktion (DiK) Fachbereich Maschinenbau Technische Universität

More information

Good morning. It is a pleasure to be with you here today to talk about the value and promise of Big Data.

Good morning. It is a pleasure to be with you here today to talk about the value and promise of Big Data. Good morning. It is a pleasure to be with you here today to talk about the value and promise of Big Data. 1 Advances in information technologies are transforming the fabric of our society and data represent

More information

Enterprise Application Enablement for the Internet of Things

Enterprise Application Enablement for the Internet of Things Enterprise Application Enablement for the Internet of Things Prof. Dr. Uwe Kubach VP Internet of Things Platform, P&I Technology, SAP SE Public Internet of Things (IoT) Trends 12 50 bn 40 50 % Devices

More information

Engineering Education for Industry 4.0 Challenges, Chances, Opportunities

Engineering Education for Industry 4.0 Challenges, Chances, Opportunities Engineering Education for Industry 4.0 Challenges, Chances, Opportunities Univ.-Prof. Dr. rer. nat. Sabina Jeschke IMA/ZLW & IfU Faculty of Mechanical Engineering RWTH Aachen University CDIO European Regional

More information

Next Internet Evolution: Getting Big Data insights from the Internet of Things

Next Internet Evolution: Getting Big Data insights from the Internet of Things Next Internet Evolution: Getting Big Data insights from the Internet of Things Internet of things are fast becoming broadly accepted in the world of computing and they should be. Advances in Cloud computing,

More information

Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems

Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Volker Markl volker.markl@tu-berlin.de dima.tu-berlin.de dfki.de/web/research/iam/ bbdc.berlin Based on my 2014 Vision Paper On

More information

Delft Data Science Seminar January 26, 2015

Delft Data Science Seminar January 26, 2015 Delft Data Science Seminar January 26, 2015 Big Data Analytics for Cyber Situational Awareness 1 100 billions in economic and societal value Content Creation millions of new jobs and millions of new talent

More information

What is Industrie 4.0 and how will it create the new growth?

What is Industrie 4.0 and how will it create the new growth? What is Industrie 4.0 and how will it create the new growth? Prof. Dr.-Ing. Reiner Anderl Computer Integrated Design (Datenverarbeitung in der Konstruktion, DiK) Fachbereich Maschinenbau Technische Universität

More information

Founding Directors: Prof. Dr. Armin B. Cremers University of Bonn. Prof. Dr. Matthias Jarke RWTH Aachen University Fraunhofer FIT

Founding Directors: Prof. Dr. Armin B. Cremers University of Bonn. Prof. Dr. Matthias Jarke RWTH Aachen University Fraunhofer FIT Founding Directors: Prof. Dr. Armin B. Cremers University of Bonn Prof. Dr. Matthias Jarke RWTH Aachen University Fraunhofer FIT Prof. Dr. Kurt-Ulrich Witt Bonn-Rhein-Sieg University of Applied Sciences

More information

Big Data better business benefits

Big Data better business benefits Big Data better business benefits Paul Edwards, HouseMark 2 December 2014 What I ll cover.. Explain what big data is Uses for Big Data and the potential for social housing What Big Data means for HouseMark

More information

Internet of Things, 5G, Big Smart Data Interplay. The Convergence and Integration of Mobile Communications, Internet, and Smart Data Processing

Internet of Things, 5G, Big Smart Data Interplay. The Convergence and Integration of Mobile Communications, Internet, and Smart Data Processing www.internet-of-things-research.eu IERC Internet of Things, 5G, Big Smart Data Interplay The Convergence and Integration of Mobile Communications, Internet, and Smart Data Processing 01 st July 2015, Paris,

More information

Introduction to Engineering Using Robotics Experiments Lecture 17 Big Data

Introduction to Engineering Using Robotics Experiments Lecture 17 Big Data Introduction to Engineering Using Robotics Experiments Lecture 17 Big Data Yinong Chen 2 Big Data Big Data Technologies Cloud Computing Service and Web-Based Computing Applications Industry Control Systems

More information

BIG DATA FUNDAMENTALS

BIG DATA FUNDAMENTALS BIG DATA FUNDAMENTALS Timeframe Minimum of 30 hours Use the concepts of volume, velocity, variety, veracity and value to define big data Learning outcomes Critically evaluate the need for big data management

More information

The Internet of Everything

The Internet of Everything The Internet of Everything The Next Evolution of the Internet is Changing Everything Todd Meister Vice President, Software and Solutions Innovation Americas Partner Organization, Cisco October 23, 2014

More information

Higher Education 4.0 Trends and Future Perspectives for Teaching and Learning

Higher Education 4.0 Trends and Future Perspectives for Teaching and Learning Higher Education 4.0 Trends and Future Perspectives for Teaching and Learning 64. DHV-Tag Virtuelle Lernwelten in der Universität Frankfurt am Main, Univ.-Prof. Dr. rer. nat. Sabina Jeschke IMA/ZLW & IfU

More information

What is Industrie 4.0

What is Industrie 4.0 What is Industrie 4.0 Prof. Dr.-Ing. Reiner Anderl Computer Integrated Design (Datenverarbeitung in der Konstruktion, DiK) Fachbereich Maschinenbau Technische Universität Darmstadt Otto-Berndt-Straße 2

More information

Manjula Ambur NASA Langley Research Center April 2014

Manjula Ambur NASA Langley Research Center April 2014 Manjula Ambur NASA Langley Research Center April 2014 Outline What is Big Data Vision and Roadmap Key Capabilities Impetus for Watson Technologies Content Analytics Use Potential use cases What is Big

More information

The future of Big Data A United Hitachi View

The future of Big Data A United Hitachi View The future of Big Data A United Hitachi View Alex van Die Pre-Sales Consultant 1 Oktober 2014 1 Agenda Evolutie van Data en Analytics Internet of Things Hitachi Social Innovation Vision and Solutions 2

More information

Top 10 IT Trends that will shape 2014. David Chin Chair BICSI Southeast Asia

Top 10 IT Trends that will shape 2014. David Chin Chair BICSI Southeast Asia Top 10 IT Trends that will shape 2014 David Chin Chair BICSI Southeast Asia Gartner Hype Cycle: Emerging Technologies 2013 Convergence of cloud, social, mobile, devices, analytic-driven automation and

More information

Cyber-Physical Systems, Internet of Things & Industry 4.0 First Technical Prototypes

Cyber-Physical Systems, Internet of Things & Industry 4.0 First Technical Prototypes Cyber-Physical Systems, Internet of Things & Industry 4.0 First Technical Prototypes Johannes Schöning Munich, Germany 10/2013 London Münster Berlin Köln Hasselt Saarbrücken Innovative Retail Lab (IRL)

More information

Exploitation of Cyber-Physical Systems and Ambient Intelligence An Intel Business Perspective

Exploitation of Cyber-Physical Systems and Ambient Intelligence An Intel Business Perspective Exploitation of Cyber-Physical Systems and Ambient Intelligence An Intel Business Perspective Acatech: Integrated Research Agenda Cyber-Physical Systems April 12, 2012, EIT ICT Labs, Berlin Prof. Martin

More information

National Nursing Informatics Deep Dive Program

National Nursing Informatics Deep Dive Program National Nursing Informatics Deep Dive Program What is Nursing Informatics and Why is it Important? Connie White Delaney, PhD, RN, FAAN, FACMI Dean and Professor, School of Nursing Director, Clinical and

More information

The New World of Data. Don Strickland President, Strickland & Associates

The New World of Data. Don Strickland President, Strickland & Associates The New World of Data Don Strickland President, Strickland & Associates THE NEW WORLD OF DATA 1900 1950 2000 Physical Infrastructure Labor Capital Physical Infrastructure Labor Capital Physical Infrastructure

More information

Big Data & Analytics: Your concise guide (note the irony) Wednesday 27th November 2013

Big Data & Analytics: Your concise guide (note the irony) Wednesday 27th November 2013 Big Data & Analytics: Your concise guide (note the irony) Wednesday 27th November 2013 Housekeeping 1. Any questions coming out of today s presentation can be discussed in the bar this evening 2. OCF is

More information

Spalte 1 A Africa economic development in sub Saharan Africa Prof. Dr. Volker Clausen Actuator systems

Spalte 1 A Africa economic development in sub Saharan Africa Prof. Dr. Volker Clausen Actuator systems Spalte Research field Contact person 1 A Africa economic development in sub Saharan Africa Actuator systems Application of sensor and actuator networks Sensor and actuator systems for user interfaces Retirement

More information

Factories of the Future Horizon 2020: LEIT ICT WP2016-17. FoF-11-2016: Digital Automation

Factories of the Future Horizon 2020: LEIT ICT WP2016-17. FoF-11-2016: Digital Automation Factories of the Future Horizon 2020: LEIT ICT WP2016-17 FoF-11-2016: Digital Automation Directorate General for Communication Networks, Content and Technology FoF PPP in Work Programme 2016-2017 FoF-11-2016:

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics April 10, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

More information

Industrial Automation. A Manufacturing Revolution in Automotive and Industrial Equipment

Industrial Automation. A Manufacturing Revolution in Automotive and Industrial Equipment Industrial Automation A Manufacturing Revolution in Automotive and Industrial Equipment 1 Automated production, integrated end-to-end: transparent, reliable, predictable and efficient. That s the promise

More information

COMP9321 Web Application Engineering

COMP9321 Web Application Engineering COMP9321 Web Application Engineering Semester 2, 2015 Dr. Amin Beheshti Service Oriented Computing Group, CSE, UNSW Australia Week 11 (Part II) http://webapps.cse.unsw.edu.au/webcms2/course/index.php?cid=2411

More information

Big Data / FDAAWARE. Rafi Maslaton President, cresults the maker of Smart-QC/QA/QD & FDAAWARE 30-SEP-2015

Big Data / FDAAWARE. Rafi Maslaton President, cresults the maker of Smart-QC/QA/QD & FDAAWARE 30-SEP-2015 Big Data / FDAAWARE Rafi Maslaton President, cresults the maker of Smart-QC/QA/QD & FDAAWARE 30-SEP-2015 1 Agenda BIG DATA What is Big Data? Characteristics of Big Data Where it is being used? FDAAWARE

More information

EL Program: Smart Manufacturing Systems Design and Analysis

EL Program: Smart Manufacturing Systems Design and Analysis EL Program: Smart Manufacturing Systems Design and Analysis Program Manager: Dr. Sudarsan Rachuri Associate Program Manager: K C Morris Strategic Goal: Smart Manufacturing, Construction, and Cyber-Physical

More information

The Internet of Things and the future of manufacturing

The Internet of Things and the future of manufacturing JUNE 2013 Josh Cochran b u s i n e s s t e c h n o l o g y o f f i c e The Internet of Things and the future of manufacturing Executives at Robert Bosch and McKinsey experts discuss the technology-driven

More information

The Future of Mobile Robots In 2020, 26 Million Mobile Robots Will Enable Autonomy in Smart Factories, Unmanned Transportation, and Connected Homes

The Future of Mobile Robots In 2020, 26 Million Mobile Robots Will Enable Autonomy in Smart Factories, Unmanned Transportation, and Connected Homes The Future of Mobile Robots In 2020, 26 Million Mobile Robots Will Enable Autonomy in Smart Factories, Unmanned Transportation, and Connected Homes NE5C-MT January 2015 NE5C-MT 1 Contents Section Slide

More information

Multi-Agent Systems. Expert Forum Agents within the context of Industry 4.0. Industry 4.0 Machine Learning. Energy and Smart Grids.

Multi-Agent Systems. Expert Forum Agents within the context of Industry 4.0. Industry 4.0 Machine Learning. Energy and Smart Grids. Multi-Agent Systems Event Expert Forum Agents within the context of Industry 4.0 Industry 4.0 Machine Learning Material Handling Energy and Smart Grids Energy Management Production Control Operations Scheduling

More information

Big Data and Analytics: Challenges and Opportunities

Big Data and Analytics: Challenges and Opportunities Big Data and Analytics: Challenges and Opportunities Dr. Amin Beheshti Lecturer and Senior Research Associate University of New South Wales, Australia (Service Oriented Computing Group, CSE) Talk: Sharif

More information

Computer. Welcome to the Faculty of Electrical Engineering, Mathematics and Computer Science! master s degree

Computer. Welcome to the Faculty of Electrical Engineering, Mathematics and Computer Science! master s degree master s degree Computer Science Welcome to the Faculty of Electrical Engineering, Mathematics and Computer Science! For us the world is flat. Electrical Engineering, Mathematics and Computer Science have

More information

CYBER PHYSICAL SYSTEMS@FRAUNHOFER IIS

CYBER PHYSICAL SYSTEMS@FRAUNHOFER IIS F R A U N H O F E R I N S T I T U T E F O R I N T E G R AT E D C I R C U I T S I I S CYBER PHYSICAL SYSTEMS@FRAUNHOFER IIS CPS@FRAUNHOFER IIS Cyber physical systems: it is no longer possible to separate

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics February 11, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

More information

Careers 3.0 Future Skills Future Work Presented by: Dr. Tracey Wilen-Daugenti

Careers 3.0 Future Skills Future Work Presented by: Dr. Tracey Wilen-Daugenti Careers 3.0 Future Skills Future Work Presented by: Dr. Tracey Wilen-Daugenti Apollo Research Institute VP, Managing Director Stanford University, Visiting Scholar Society Trends Family Women Macro Trends

More information

Masters in Information Technology

Masters in Information Technology Computer - Information Technology MSc & MPhil - 2015/6 - July 2015 Masters in Information Technology Programme Requirements Taught Element, and PG Diploma in Information Technology: 120 credits: IS5101

More information

Eindhoven December 4, 2014

Eindhoven December 4, 2014 Eindhoven December 4, 2014 Waves: Visualizing spatio-temporal Soccer Data Insight Reports of sport events can be enhanced by real-time feature analysis. Solutions Complex spatio-temporal sports-analytics

More information

Internet of Things. Chancen der Digitalen Revolution für die deutsche Industrie. Frank Riemensperger. Vorsitzender der Geschäftsführung Deutschland

Internet of Things. Chancen der Digitalen Revolution für die deutsche Industrie. Frank Riemensperger. Vorsitzender der Geschäftsführung Deutschland Chancen der Digitalen Revolution für die deutsche Industrie Vorsitzender der Geschäftsführung Deutschland Definition von Smart Services Produkte, Prozesse und Dienstleistungen werden digital veredelt und

More information

Opening of the Academic Year & New Campus Saxion University of Applied Sciences in Enschede Wednesday 2 nd September

Opening of the Academic Year & New Campus Saxion University of Applied Sciences in Enschede Wednesday 2 nd September Opening of the Academic Year & New Campus Saxion University of Applied Sciences in Enschede Wednesday 2 nd September Good morning everyone. It is a great honour to be invited to the opening of the new

More information

Smart Factories and IT Monitoring

Smart Factories and IT Monitoring Whitepaper Smart Factories and IT Monitoring Is Today s IT Monitoring Smart Enough for a Smart World? Contents Introduction... 3 What will be the role of IT in this new, smart world? 4 What are the next

More information

Future for industrial policies

Future for industrial policies Future for industrial policies Dr. Alexander Tettenborn Federal Ministry of Economics and Energy The German Digital Economy 228 bn. Sales volume (ICT branch) 79 bn. Sales volume (internet economy) 4.9

More information

Statistics for BIG data

Statistics for BIG data Statistics for BIG data Statistics for Big Data: Are Statisticians Ready? Dennis Lin Department of Statistics The Pennsylvania State University John Jordan and Dennis K.J. Lin (ICSA-Bulletine 2014) Before

More information

Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA

Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA http://kzhang6.people.uic.edu/tutorial/amcis2014.html August 7, 2014 Schedule I. Introduction to big data

More information

RIOT CONTROL The Art of Managing Risk for Internet of Things

RIOT CONTROL The Art of Managing Risk for Internet of Things RIOT CONTROL The Art of Managing Risk for Internet of Things Kim Singletary McAfee Session ID: Session Classification: Advanced Intro What is IoT and why is it different? What are the risks? What are the

More information

IoT in Production. Dr. Verena Majuntke, Bosch Software Innovations. Bosch Software Innovations

IoT in Production. Dr. Verena Majuntke, Bosch Software Innovations. Bosch Software Innovations IoT in Production Dr. Verena Majuntke, 1 Public INST/MKC 07.2014 GmbH 2014. All rights reserved, also regarding any disposal, Agenda The Internet of Things Internet of Things in Production Business Ecosystem

More information

ITU WORK ON INTERNET OF THINGS

ITU WORK ON INTERNET OF THINGS ITU WORK ON INTERNET OF THINGS Presentation at ICTP workshop 26 March 2015 Cosmas Zavazava Chief, Projects and Knowledge Management Department International Telecommunication Union ITU HEADQUARTERS, GENEVA

More information

Executive Master Program Electronic Systems Engineering & Management

Executive Master Program Electronic Systems Engineering & Management Executive Master Program Electronic Systems Engineering & Management Technology + Management KIT University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association

More information

Embedded Eletronics. Results of the study for the inclusion of electronics in existing industrial products

Embedded Eletronics. Results of the study for the inclusion of electronics in existing industrial products Embedded Eletronics Results of the study for the inclusion of electronics in existing industrial products Overview: Global electronic industry 2/3 of global production in Asia Global Electronic Industry,

More information

Smart City Live! 9-10 May 2016, Nice

Smart City Live! 9-10 May 2016, Nice Monday, May 9, 2016 Smart City Live! 9-10 May 2016, Nice Draft agenda as of November 20, 2015 SMART LIVING SMART CITY SERVICES 9:00 AM CASE STUDY: Developing Smart Energy communities Understanding the

More information

Industrie 4.0. The Aachen Approach

Industrie 4.0. The Aachen Approach Industrie 4.0 The Aachen Approach Axel Demmer Fraunhofer Institute for Production Technology IPT, Aachen (GER) Fraunhofer Additive Manufacturing Alliance Paradigm shifts lead to the announced fourth industrial

More information

SYSTEMS, CONTROL AND MECHATRONICS

SYSTEMS, CONTROL AND MECHATRONICS 2015 Master s programme SYSTEMS, CONTROL AND MECHATRONICS INTRODUCTION Technical, be they small consumer or medical devices or large production processes, increasingly employ electronics and computers

More information

Factories of the Future Horizon 2020: LEIT ICT WP2016-17. FoF-11-2016: Digital Automation

Factories of the Future Horizon 2020: LEIT ICT WP2016-17. FoF-11-2016: Digital Automation Factories of the Future Horizon 2020: LEIT ICT WP2016-17 FoF-11-2016: Digital Automation FoF PPP in Work Programme 2016-2017 FoF-11-2016: Digital automation FoF-12-2017: ICT Innovation for Manufacturing

More information

Statistical Challenges with Big Data in Management Science

Statistical Challenges with Big Data in Management Science Statistical Challenges with Big Data in Management Science Arnab Kumar Laha Indian Institute of Management Ahmedabad Analytics vs Reporting Competitive Advantage Reporting Prescriptive Analytics (Decision

More information

CSC590: Selected Topics BIG DATA & DATA MINING. Lecture 2 Feb 12, 2014 Dr. Esam A. Alwagait

CSC590: Selected Topics BIG DATA & DATA MINING. Lecture 2 Feb 12, 2014 Dr. Esam A. Alwagait CSC590: Selected Topics BIG DATA & DATA MINING Lecture 2 Feb 12, 2014 Dr. Esam A. Alwagait Agenda Introduction What is Big Data Why Big Data? Characteristics of Big Data Applications of Big Data Problems

More information

Artificial Intelligence and Robotics @ Politecnico di Milano. Presented by Matteo Matteucci

Artificial Intelligence and Robotics @ Politecnico di Milano. Presented by Matteo Matteucci 1 Artificial Intelligence and Robotics @ Politecnico di Milano Presented by Matteo Matteucci What is Artificial Intelligence «The field of theory & development of computer systems able to perform tasks

More information

Big Data Analytics. Chances and Challenges. Volker Markl

Big Data Analytics. Chances and Challenges. Volker Markl Volker Markl Professor and Chair Database Systems and Information Management (DIMA), Technische Universität Berlin www.dima.tu-berlin.de Big Data Analytics Chances and Challenges Volker Markl DIMA BDOD

More information

TURKEY SOFTWARE QUALITY REPORT 2014-2015

TURKEY SOFTWARE QUALITY REPORT 2014-2015 TURKEY SOFTWARE QUALITY REPORT 2014-2015 CONTENT Foreword Executive Summary Questions About 03 05 07 21 www.turkishtestingboard.org info@turkishtestingboard.org Phone: + 90 212 290 76 62 Fax:+90 212 290

More information

Closed innovation vs. open innovation 2 What is open innovation, and how does it differ from previous models, like the closed innovation systems?

Closed innovation vs. open innovation 2 What is open innovation, and how does it differ from previous models, like the closed innovation systems? Open Innovation Basics and the Local Environment Introduction Micro-, Small- and Medium-Enterprises are global drivers of innovation and business development depending on the knowledge-base as a key resource.

More information

Utilizing big data to bring about innovative offerings and new revenue streams DATA-DERIVED GROWTH

Utilizing big data to bring about innovative offerings and new revenue streams DATA-DERIVED GROWTH Utilizing big data to bring about innovative offerings and new revenue streams DATA-DERIVED GROWTH ACTIONABLE INTELLIGENCE Ericsson is driving the development of actionable intelligence within all aspects

More information

Convergence of Outsourcing & SaaS in Big Data Analytics

Convergence of Outsourcing & SaaS in Big Data Analytics Convergence of Outsourcing & SaaS in Big Data Analytics Ushering in the World of BPaaS-Based Business Models in the Era of Big Data There s no denying it, we live in the era of Big Data! Just take a look

More information

Cloud Computing mit mathematischen Anwendungen

Cloud Computing mit mathematischen Anwendungen Cloud Computing mit mathematischen Anwendungen Dr. habil. Marcel Kunze Engineering Mathematics and Computing Lab (EMCL) Institut für Angewandte und Numerische Mathematik IV Karlsruhe Institute of Technology

More information

Industrie 4.0 and Digital Transformation in NRW: Challenges, Opportunities and Potential for Cooperation Seoul, 20.04.2016

Industrie 4.0 and Digital Transformation in NRW: Challenges, Opportunities and Potential for Cooperation Seoul, 20.04.2016 Industrie 4.0 and Digital Transformation in NRW: Challenges, Opportunities and Potential for Cooperation Seoul, 20.04.2016 Industrie 4.0 and Digital Transformation in NRW 1 Challenges Enabling Technologies

More information

Horizon 2020 Information and Communication Technologies in Work Programme 2016-17

Horizon 2020 Information and Communication Technologies in Work Programme 2016-17 Horizon 2020 Information and Communication Technologies in Work Programme 2016-17 Morten Møller DG CONNECT European Commission A few reminders on Horizon 2020 Biggest EU R&I programme ever 77 billion of

More information

Industry 4.0 and Big Data

Industry 4.0 and Big Data Industry 4.0 and Big Data Marek Obitko, mobitko@ra.rockwell.com Senior Research Engineer 03/25/2015 PUBLIC PUBLIC - 5058-CO900H 2 Background Joint work with Czech Institute of Informatics, Robotics and

More information

Energy Systems Integration

Energy Systems Integration Energy Systems Integration A Convergence of Ideas Ben Kroposki, Bobi Garrett, Stuart Macmillan, Brent Rice, and Connie Komomua National Renewable Energy Laboratory Mark O Malley University College Dublin

More information

Automation - future trends and innovation

Automation - future trends and innovation Automation - future trends and innovation Dr. Gerd-Ulrich Spohr Siemens I IA Strategy Innovation & Technology VDI October, 6th 2009 in Karlsruhe Contents Automation - future trends and innovations Contents

More information

EXPLORATORY RESEARCH IN ATM. David Bowen Chief ATM 4 th May 2015

EXPLORATORY RESEARCH IN ATM. David Bowen Chief ATM 4 th May 2015 EXPLORATORY RESEARCH IN ATM David Bowen Chief ATM 4 th May 2015 1 ATM Research in Europe HORIZON Transport Challenges smart, green and integrated transport FlightPath 2050 five challenges to aviation beyond

More information

BIG DATA. - How big data transforms our world. Kim Escherich Executive Innovation Architect, IBM Global Business Services

BIG DATA. - How big data transforms our world. Kim Escherich Executive Innovation Architect, IBM Global Business Services BIG DATA - How big data transforms our world Kim Escherich Executive Innovation Architect, IBM Global Business Services 1 2 What happens? What is data? 340.282.366.920.938.463.463.374.607.431.768.211.456

More information

Questions to be responded to by the firm submitting the application

Questions to be responded to by the firm submitting the application Questions to be responded to by the firm submitting the application Why do you think this project should receive an award? How does it demonstrate: innovation, quality, and professional excellence transparency

More information

Customer Experience Management

Customer Experience Management Customer Experience Management Best Practices for Voice of the Customer (VoC) Programmes Jörg Höhner Senior Vice President Global Head of Automotive SPA Future Thinking The Evolution of Customer Satisfaction

More information

PROGRAM DIRECTOR: Arthur O Connor Email Contact: URL : THE PROGRAM Careers in Data Analytics Admissions Criteria CURRICULUM Program Requirements

PROGRAM DIRECTOR: Arthur O Connor Email Contact: URL : THE PROGRAM Careers in Data Analytics Admissions Criteria CURRICULUM Program Requirements Data Analytics (MS) PROGRAM DIRECTOR: Arthur O Connor CUNY School of Professional Studies 101 West 31 st Street, 7 th Floor New York, NY 10001 Email Contact: Arthur O Connor, arthur.oconnor@cuny.edu URL:

More information

Smart Industrial Manufacturing

Smart Industrial Manufacturing Robots-as-a-Service 2016 TM Forum Live! 2016 1 Best New Catalyst Award TMF Live 2016, Nice, France 2016 TM Forum Live! 2016 2 This Catalyst goes beyond the scope of traditional Machineto-Machine (M2M)

More information

Introduction to ARTEMIS Strategic Reseach Agenda. June 24, 2015

Introduction to ARTEMIS Strategic Reseach Agenda. June 24, 2015 Introduction to ARTEMIS Strategic Reseach Agenda Road2CPS workshop, Paris June 24, 2015 Ad ten Berg Embedded & Cyber- Physical Systems Sidestick LCD-Displays Autopilot, Auto-Throttle, Envelope Protection

More information

Internet of things. Perspectives on the Internet of things. IoT for a green planet conference, Tokyo, 2010 Nov. 30

Internet of things. Perspectives on the Internet of things. IoT for a green planet conference, Tokyo, 2010 Nov. 30 Internet of things Perspectives on the Internet of things IoT for a green planet conference, Tokyo, 2010 Nov. 30 Niko Hossain Fraunhofer IML, Dortmund Agenda Perspectives on the Internet of Things Sociological

More information

Masters in Computing and Information Technology

Masters in Computing and Information Technology Masters in Computing and Information Technology Programme Requirements Taught Element, and PG Diploma in Computing and Information Technology: 120 credits: IS5101 CS5001 or CS5002 CS5003 up to 30 credits

More information

OPPORTUNITIES IN ENGINEERING HUMAN CENTERED SERVICE SYSTEMS

OPPORTUNITIES IN ENGINEERING HUMAN CENTERED SERVICE SYSTEMS OPPORTUNITIES IN ENGINEERING HUMAN CENTERED SERVICE SYSTEMS Spring 2014 ENG Advisory Committee Meeting Alexandra Medina-Borja Sara Nerlove Grace Wang Directorate for Engineering National Science Foundation

More information

Siemens 2020 Our strategy and innovation focus Lecture at Koç University Unrestricted Siemens AG 2014. All rights reserved.

Siemens 2020 Our strategy and innovation focus Lecture at Koç University Unrestricted Siemens AG 2014. All rights reserved. Siemens Corporate Technology Istanbul, September 4, 2014 Siemens 2020 Our strategy and innovation focus Lecture at Koç University Unrestricted Siemens AG 2014. All rights reserved. Contents Siemens strategy

More information

Antitrust Policy and Industry 4.0 - Keeping the Market Competitive in a Digital Economy -

Antitrust Policy and Industry 4.0 - Keeping the Market Competitive in a Digital Economy - Antitrust Policy and Industry 4.0 - Keeping the Market Competitive in a Digital Economy - Ulrich Schwalbe University of Hohenheim, Stuttgart June 15, 2016 GRUR meets Brussels Workshop U. Schwalbe (University

More information

FIVE SUPPLY CHAIN ISSUES WORTHY OF CEO ATTENTION

FIVE SUPPLY CHAIN ISSUES WORTHY OF CEO ATTENTION FIVE SUPPLY CHAIN ISSUES WORTHY OF CEO ATTENTION . MITIGATING RISKS OF SUPPLY CHAIN DISRUPTIONS Supply chains are becoming more global, while margins for error in the supply chain are getting slimmer.

More information

Selected Thesis Topics for BScBA students Bachelor s Thesis 2015-2016

Selected Thesis Topics for BScBA students Bachelor s Thesis 2015-2016 Selected Thesis Topics for BScBA students Bachelor s Thesis 2015-2016 Please use this list of the fields of International Business for thesis work and potential thesis topics when choosing and informing

More information

Big Data Buzzword or Real Opportunity?

Big Data Buzzword or Real Opportunity? CENTRAL EASTERN EUROPEAN SMART CARD ASSOCIATION Big Data Buzzword or Real Opportunity? Zoran Bohaček Zadar, September 17 th, 2013 Agenda Big Data's 4 V's Few bits of history How big is BIG? What to do

More information

Public Sector Foresight: The Future is Now

Public Sector Foresight: The Future is Now Public Sector Foresight: The Future is Now World Future 2015 Public Sector Foresight Network Meeting San Francisco July 24, 2015 Stephen Sanford Strategic Planning & Innovation Manager U.S. Government

More information

Collaborative Research Center 2013-2017

Collaborative Research Center 2013-2017 MAKI - Multi-Mechanism Adaptation for the future Internet Collaborative Research Center 2013-2017 Antragsteller: Dr. rer. nat. Natalia Akchurina Prof. Alejandro Buchmann, Ph.D. Prof. Dr.-Ing. Wolfgang

More information