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Keynote on industrial internet

Keynote presentation at GE's intent of things/industrial internet event, 'Minds + Machines', October 2014 in New York.

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Keynote on industrial internet

  1. The industrial internet B E N E D I C T E V A N S @ b e n e d i c t e v a n s O c t o b e r 2 0 1 4
  2. Moore’s Law, again 10,000,000,000 100,000,000 1,000,000 10,000 100 1 Transistors per CPU 1970 1980 1990 2000 2010 2020
  3. In the last iPhone launch weekend, Apple sold 25x more CPU transistors than were in all the PCs on Earth in 1995 ALL PCS ON EARTH IN 1995 250m PCs in use 3.2m transistors per Pentium CPU <800 trillion transistors IPHONE 6 LAUNCH WEEKEND 10m phones sold 2bn transistors per A8 CPU 20,000 trillion transistors
  4. Seymour Cray, 1960 – 37 cents per transistor (retail) Intel 8080 chip, 1974 – 8 cents per transistor Today, 8 cents for 1m transistors
  5. Anything that can be measured or connected or controlled, will be
  6. (yes, anything)
  7. Our grandparents could count their electric motors Our parents could count the things they owned with a chip inside We can count our connected devices
  8. “Internet of Things”
  9. Industrial Internet
  10. Software is eating the world
  11. ‘Big Data’ brings unprecedented scale Digital Information Created Source: IDC's Digital Universe Study, April 2014 Challenge: From controlled to chaos at 40% CAGR 1 Exabyte = 1 billion Gigabytes
  12. Completing the computerization of industry Office PCs & networks ERP ‘Industrial Internet’ A generational change as big as PCs, networks or enterprise software
  13. New technology in business has a feedback loop The business shapes the PRODUCTS CUSTOMERS tools The tools reshape the business
  14. Finding the tools CONTROL THE FIREHOSE Raw sensor data is a firehose Need tools to manage, abstract, co-ordinate, compress INGEST THE DATA How to get this back into enterprise IT How to change enterprise IT - analytics, Hadoop, etc, etc DO SOMETHING USEFUL Convert to actionable intelligence How to drive real-time execution and build a feed-back loop
  15. The progression of data ‘50s – ‘00s 1.0 Descriptive 2.0 Predictive 3.0 Prescriptive Mid ’00s – Today Future
  16. Big data transforms business operations 90% prescriptive and predictive analysis Machine learning closes the feedback loop Analytics data + streaming big data + machine data Cycle time: Millions of insights per second Data Intelligence for all across the org chart Analytical toolset at the point of decision making
  17. The tools can reshape the business EFFICIENCY “No more step-ladders” – data collection Operational efficiency Asset utilization, maintenance PRODUCT DESIGN Knowing exactly what a product did allows new designs Knowing what it’s doing NOW allows new designs SYSTEM DESIGN Understanding everything in a system for the first time allows a new system Continuous feedback
  18. Past analogy: containerization EFFICIENCY Faster port turn-arounds Fewer breakages & theft Higher fleet utilization PRODUCT DESIGN Much bigger, more efficient ships New ports, new onshore logistics SYSTEM DESIGN Move to a global supply chain
  19. A computer should not ask anything that it should know A person should not work out something a computer could What a computer knows is changing radically
  20. Software is eating the world
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Keynote presentation at GE's intent of things/industrial internet event, 'Minds + Machines', October 2014 in New York.


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