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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
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
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
Seymour Cray, 1960 – 37 
cents per transistor (retail) 
Intel 8080 chip, 1974 – 8 
cents per transistor 
Today, 8 cents for 1m transistors
Anything that can be measured or 
connected or controlled, will be
(yes, anything)
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
“Internet of Things”
Industrial Internet
Software is eating the world
‘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
Completing the computerization of industry 
Office 
PCs & 
networks 
ERP 
‘Industrial 
Internet’ 
A generational change as big as PCs, networks or enterprise software
New technology in business has a feedback loop 
The 
business 
shapes the 
PRODUCTS CUSTOMERS 
tools 
The tools 
reshape 
the 
business
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
The progression of data 
‘50s – ‘00s 
1.0 
Descriptive 
2.0 
Predictive 
3.0 
Prescriptive 
Mid ’00s – Today 
Future
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
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
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
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
Software is eating the world

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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
  • 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
  • 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