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The inevitable future
With some infrastructure thrown in
Maarten Lens-FitzGerald
@dutchcowboy
Earthrise
Web
1994
E-mail
2002
Mobile
2005
Earthrise
2014
Health
2008
Augmented
Reality
2009
Fascinated by
reframing
Professor Hans Rosling / Gapminder
Fascinated by
infrastructure and change
Fascinated by
progress
http://www.slideshare.net/vangeest/exponential-organizations-h
http://www.slideshare.net/vangeest/exponential-organizations-h
http://www.slideshare.net/vangeest/exponential-organizations-h
Computing / AI
Robotica
Nano technology
Health
Augmentation
Medicine
Brain
3D Printing
Genetics & Bioinformatics
Space
Ene...
Choose 1 of 3
states of mind:
energy, calm
or focused
Machine Learning
Computers can learn
Suggest productsSuggest friends
The more data you give the better it gets
And now it ...
The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels
https://www.youtube.c...
And it can see better than people
The wonderful and terrifying implications of computers that can learn | Jeremy Howard | ...
Based on a random set op Youtube video’s the computer
learned the “concepts” of cat and human.
The wonderful and terrifyin...
Images are being tagged with a 6% error rate
The wonderful and terrifying implications of computers that can learn | Jerem...
Images are being described in labs (Stanford, Dec 2014
The wonderful and terrifying implications of computers that can lea...
Cancerous breast tissue is being recognized at the
same rate as humans yet with no “expertise”/ university education
The w...
It takes 300 years to build western medicine equivalent health care in Nigeria
The wonderful and terrifying implications o...
Blue: services is over 80% of employment
The wonderful and terrifying implications of computers that can learn | Jeremy Ho...
And this is what these services are… what computers just learnt
The wonderful and terrifying implications of computers tha...
ohoh
So how can I use the
opportunity of all these
technological developments?
It used to be a matter of planning
NO, Its a matter of learning
Waterfall methode
Agile Methode
Iterative methode
Lean Methode
http://www.agilistapm.com/diff...
clock.ai Company Confidential 35
Seeing
Forming
Creating
Prepare
Influencing
OptimizingScaling
Ending
START
LAUNCHEND
SUCCES...
clock.ai Company Confidential 36
Seeing
Forming
Creating
Prepare
Influencing
OptimizingScaling
Ending
START
LAUNCHEND
SUCCES...
Scalable efficiency Scalable Learning
Scarcity Abundance
High modernism Lean infrastructure
World of the past World of toda...
Fascinated by
infrastructure and change
…lightweight block-like structures that can be moved around, 

rather than investing in permanent buildings.
You can learn anything
All information is out there
–Johnny Appleseed
“Type a quote here.”
The only limit is me
Thank you
@duchcowboy
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
The Inevitable Future (with some infrastructure thrown in)
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The Inevitable Future (with some infrastructure thrown in)

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Presentation for innovation meeting hosted by Prorail. Explored how innovation & infrastructure can mix. Used my favo book by Steward Brand: How buildings learns to illustrate that innovation is possible in infrastructure work. April 2015.

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The Inevitable Future (with some infrastructure thrown in)

  1. 1. The inevitable future With some infrastructure thrown in Maarten Lens-FitzGerald @dutchcowboy Earthrise
  2. 2. Web 1994 E-mail 2002 Mobile 2005 Earthrise 2014 Health 2008 Augmented Reality 2009
  3. 3. Fascinated by reframing
  4. 4. Professor Hans Rosling / Gapminder
  5. 5. Fascinated by infrastructure and change
  6. 6. Fascinated by progress
  7. 7. http://www.slideshare.net/vangeest/exponential-organizations-h
  8. 8. http://www.slideshare.net/vangeest/exponential-organizations-h
  9. 9. http://www.slideshare.net/vangeest/exponential-organizations-h
  10. 10. Computing / AI Robotica Nano technology Health Augmentation Medicine Brain 3D Printing Genetics & Bioinformatics Space Energy
  11. 11. Choose 1 of 3 states of mind: energy, calm or focused
  12. 12. Machine Learning Computers can learn Suggest productsSuggest friends The more data you give the better it gets And now it can see… The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  13. 13. The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  14. 14. And it can see better than people The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  15. 15. Based on a random set op Youtube video’s the computer learned the “concepts” of cat and human. The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  16. 16. Images are being tagged with a 6% error rate The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  17. 17. Images are being described in labs (Stanford, Dec 2014 The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  18. 18. Cancerous breast tissue is being recognized at the same rate as humans yet with no “expertise”/ university education The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  19. 19. It takes 300 years to build western medicine equivalent health care in Nigeria The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  20. 20. Blue: services is over 80% of employment The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  21. 21. And this is what these services are… what computers just learnt The wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrussels https://www.youtube.com/watch?v=xx310zM3tLs
  22. 22. ohoh
  23. 23. So how can I use the opportunity of all these technological developments?
  24. 24. It used to be a matter of planning
  25. 25. NO, Its a matter of learning Waterfall methode Agile Methode Iterative methode Lean Methode http://www.agilistapm.com/differences-between-waterfall-iterative-waterfall-scrum-and-lean-software-development-in-pictures/
  26. 26. clock.ai Company Confidential 35 Seeing Forming Creating Prepare Influencing OptimizingScaling Ending START LAUNCHEND SUCCESS Effect Market Fit Product Identity Orientation earthrise model of change
  27. 27. clock.ai Company Confidential 36 Seeing Forming Creating Prepare Influencing OptimizingScaling Ending START LAUNCHEND SUCCESS Effect Market Fit Product Identity Orientation The MakerThe Lover The Ruler The Judge The Explorer The Sage The Hero The Placemaker Liberator The MagicianThe Everyman The Outlaw Freedom Wake-Up Call O pportunities Creations Achievement Believers Winninig Formula Order System Acceptance Release Healing Pick a plane: - Eco system - Organisation - Project - You earthrise model of change
  28. 28. Scalable efficiency Scalable Learning Scarcity Abundance High modernism Lean infrastructure World of the past World of today and the future
  29. 29. Fascinated by infrastructure and change
  30. 30. …lightweight block-like structures that can be moved around, 
 rather than investing in permanent buildings.
  31. 31. You can learn anything All information is out there
  32. 32. –Johnny Appleseed “Type a quote here.”
  33. 33. The only limit is me
  34. 34. Thank you @duchcowboy

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