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Internet of Things/ Industry 4.0

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As part of the first international „Advanced Science and Technologies for Sustainable Development in Iran" (STSD) conference 2014 in Berlin, Goodarz Mahbobi, managing director of axxessio, gave a presentation on the topic of "Internet of Things - Industry revolution and Planned projects in the German Industry".

Published in: Technology

Internet of Things/ Industry 4.0

  1. 1. Internet of Things / Industry 4.0 Industry revolution and planned projects in the German Industry AUGUST 2014 - BERLIN GOODARZ MAHBOBI
  2. 2. World Champion in Export » Why is Germany world champion in export ? » Why are other countries able to stand the pace? » With which risks is Germany confronted with? » How can dangers be minimized by using new technologies? 2
  3. 3. Level of complexity increases 3 Complexity Smart Factory is a highly complex system with a lot of individual participants having their own intelligence.
  4. 4. 4 Revolution Components BILD ANPASSEN?
  5. 5. 5 Data in General » Data is produced everywhere » According to IBM: 2.5 – 3 exabytes / day
  6. 6. 6 Data in General » 90% of data produced in the last two years » Amount will double every three years
  7. 7. Swimming in data 7 Data in General » Volume (big amount of data) » Variety (many data formats) » Velocity (high performance) » Value (valuable information) » Veracity (quality of data) » Volatility (storage of data)
  8. 8. 8 Revolution Components
  9. 9. More IP devices than people 9 Mobile
  10. 10. Mobile changed the way the world communicates 10 Mobile » 1.5 Billion Smartphones in 2014 (Gartner)
  11. 11. How long (in years) did it take to get 50 Mio User? 11 38 years 13 years 4 years 3 years 1 year 0,75 years 0,25 years
  12. 12. 12 Revolution Components
  13. 13. 13 Cloud 67% of adult internet users in the U.S. use personal cloud services The Personal Cloud will replace the PC
  14. 14. 14 Mobile and Cloud » APPs become more complex » Business processes
  15. 15. Transformation of cultural institutions: Media Collaboration Platform 15 Mobile and Cloud Cultural institutions » Museum of Modern Arts, New York » Städel Museum, Frankfurt (110.000 exhibits) » Hess. Landes- und Universitätsbibliothek Conditions » Rapid adaptability » Flexible information retrieval » Mobile operation based on cloud-infrastructure
  16. 16. Car 2.0 16 Mobile and Cloud
  17. 17. 17 Revolution Components
  18. 18. Collaboration and Social 18 Collaboration » Transformation of collaboration, use of networks, buying, selling and learning behavior, knowledge sharing » New IT-approach » People Processes Collaboration
  19. 19. 19 Revolution Components
  20. 20. What is Big Data? 20 Big Data » Data fication 1. Clouding data 2. Data Warehousing 3. Trash data
  21. 21. What is Big Data? Internet Sites, Web Forums, Blogs Social Networks, eMails, Sensors 21 Big Data Docu ments Text Pictures Valuable Information From an enourmous amount of data, only a small fraction is extracted as valuable data. • Volume (big amount of data) • Variety (many data formats) • Velocity (high performance) • Value (valuable information) • Veracity (quality of data) • Volatility (storage of data)
  22. 22. Big Data technologies 22 Big Data For batch processing of big amounts of unstructured data the hadoop ecosystem is used. Big Data analysis is done with the MAP/REDUCE framework For real time processing of huge amounts of data In- Memory databases are used Use Cases: Analysis of Social Data, eMail Data, … Use Cases: Real Time processing of sensor data or financial transactions
  23. 23. Big Data is the way how discoveries will happen in the future 23 Big Data Google researchers found out by chance that certain search terms are good indicators of flu activity. Today Google Flu Trends uses aggregated Google search data to estimate flu activity in the different countries. In future from correlating huge amount of medical data new therapies could be discovered. patient records clinical study Scientific publications Compute correlations with Big Data analytics New therapies
  24. 24. Big Opportunities with Big Data Analytics 24 Big Data
  25. 25. Consequences of the revolution 25 Consequences of the revolution » Agile Organizations will take the lead » Shortage of 140,000 to 190,000 people with deep analytical skills in the U.S. / 1.5 million managers and analysts
  26. 26. The future of organizations 26 Consequences of the revolution Traditional Organizations » Inflexible IT-Systems based on application silos » Business and administrative processes with media disruptions » Hierarchy Internal and external communication » Limited information Digital Organizations » Scalable IT-Systems based on cloud, mobile, big data and collaboration » End-to-End processes based on collaboration and real-time KPIs » Social interaction with employees, customers and partner » 360° information
  27. 27. Future of companies after the revolution » Mobility » Big data » New organizational structures 27
  28. 28. The product to be created defines the process Definition of industry 4.0 Industry 4.0 is a project in the high-tech strategy of the German government, which promotes the computerization of traditional industries such as manufacturing.[1] The goal is the intelligent factory (Smart Factory), which is characterized by adaptability, resource efficiency and ergonomics as well as the integration of customers and business partners in business and value processes. Technological basis are cyber-physical systems and the Internet of Things. 28
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  32. 32. The virtual production helps to reduce waste far beyond existing approaches by showing real-time images of the production 32
  33. 33. Next steps » Every step towards IT is a step in the right 33 direction » No serial SST, but TCP/IP » Connecting machines, and taking the opportunities offered! Be brave, do not be careless! All accompanied by Dypa! » Question manual workarounds aggressively and automatize, IT stocks have to be right » Draw up 2 pages for funding proposal of IHK / IT4Work
  34. 34. In smart factory, social machines share their knowledge The smart factory controlls interferences and breaks down existing borders. Travel, layouts, sequences, operating- and recyclingpoints, products and technologies are made flexible. Thereby it shows its full potential by the satisfaction of requirements that have been conisdered as inconsisten until now. In smart factory, social machines share their knowledge: They recognize the best parameter through learning experience, with which they are able to process materials, perceive and inform its „social network“ and other networked machines, which apply the new setting automatically..
  35. 35. The intensive use of IT in production requires more IT-competences in the company. The coming multiadaptive smart factory will in no case be deserted, but will require employees which act as decision makers and in the optimization of processes. The employees will take on responsibility for important functions in the design, installation, backfitting, service and the repair of complex cyber-physic productions systems and the necessary new network elements for the Internet of things. Besides employees, other stakeholders (suppliers, customers) are also integrated in the interaction of the factory.
  36. 36. Thank you for your attention Our Locations Subsidiary Darmstadt Kasinostraße 60 64293 Darmstadt Tel +49 61 51 – 78 90 0 Fax +49 61 51 – 78 90 23 0 Headquarter Bonn Kurfürstenallee 5 53177 Bonn Tel +49 228 – 76 36 31 0 Fax +49 228 –76 36 31 3 Subsidiary Berne Bridelstrasse 37 3008 Berne Tel +41 31 – 534 07 06 Fax +41 31 – 536 69 78
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