The document discusses emerging technologies and their impact. It begins with a brief history of technological laws like Moore's Law. It then covers topics like local vs cloud computing, algorithms and filters, privacy issues, and the growing Internet of Things. The document also examines artificial intelligence, machine learning, augmented and virtual reality. It raises concerns about data manipulation and deepfakes. In conclusion, it emphasizes that the technological changes of the next 20 years will vastly exceed the last 20 years.

1. Prepare for the Future
Tech Strategies You Need to Know
Jason Griffey :: affiliate at metaLAB @ Harvard
@griffey :: griffey@gmail.com
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2. A Brief
History
of the
Future
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3. Technological Laws
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4. Moore’s Law
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5. Koomey’s Law
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9. 2007 2017
163 ppi
128 MB Ram
4,8,16 GB memory
326 ppi
768 MB Ram
16 GB memory

10. 2007 2017
163 ppi
128 MB Ram
4,8,16 GB memory
326 ppi
768 MB Ram
16 GB memory

11. 2007
163 ppi
326 ppi
128 MB Ram
4,8,16 GB memory
768 MB Ram
16 GB memory
Realtime speech to text
4G cellular
Barometer
W2 Chip
Realtime Heart Rate monitor
Exercise tracking
Multi-Day Battery Life

12. Local
vs
Remote
Computing
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13. Google vs Apple

16. Ethics
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17. Algorithms
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18. Filters & Bubbles
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19. Incentives
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20. Privacy
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21. Internet
of Things

22. Lower price =
ubiquity in products
Photo by Alvaro Reyes on Unsplash

34. Ubiquity =
Fundamentally New
Experiences
Photo by Giu Vicente on Unsplash

37. In the Library
Photo by BinaryApe - http://flic.kr/p/3mo

38. Information
Gathering
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39. Automatic
Collection
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40. oto by lydia_x_liu - http://flic.kr/p/oXT3yF
Object Movement

41. Stross’
Extrapolation
http://www.antipope.org/charlie/blog-static/2012/08/how-low-power-can-you-go.html

42. Photo by Eric Fischer - http://flic.kr/p/87P7QM

43. https://www.schneier.com/blog/archives/2016/02/the_internet_of_1.html

44. Augmented Reality
Virtual Reality

56. oto by sndrv - http://flic.kr/p/84Dve3
Augmented Reality

61. Hololens

65. Magic Leap

71. “We're on the cusp of what I
think is not The Next Big
Platform, but rather simply
The Final Platform – the
platform to end all
platforms…”
— Mike Abrash

74. Problems

75. Artificial Intelligence
& Machine Learning
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76. StrongWeak

78. Manipulation or
Interpretation of Data
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79. – Geoffrey Hinton, University of Toronto
“Take any old classification problem where you
have a lot of data, and it’s going to be solved by
deep learning. There’s going to be thousands of
applications of deep learning.”

80. Photo by Clearly Ambiguous - http://flic.kr/p/31nkY

83. Watson makes me a cocktail

84. Medical Diagnosis
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85. –Geoffrey Hinton, University of Toronto
“I think that if you work as a radiologist you are like
Wile E. Coyote in the cartoon. You’re already over the
edge of the cliff, but you haven’t yet looked down.
There’s no ground underneath. It’s just completely
obvious that in five years deep learning is going to do
better than radiologists. It might be ten years.”

87. https://hamlet.andromedayelton.com

88. Photo by nathanmac87 - http://flic.kr/p/cx2Hvd

90. Photo by Mocks 108 - http://flic.kr/p/dEFhLT

101. Deepfake

102. Photo by iwouldificould - http://flic.kr/p/apgLT5
Robots

116. Conclusion?
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117. “We have just started to
make a technological society.
The technological changes in
the next 20 years will dwarf
those of the last 20 years. It
will almost be like nothing at
all has happened yet.”
— Kevin Kelly

119. –Roy Amara
“We tend to overestimate the effect of a
technology in the short run and
underestimate the effect in the long run.”
Amara’s Law

120. Questions?
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121. J A S O N G R I F F E Y
F O U N D E R / P R I N C I PA L C O N S U LTA N T
E V E N LY D I S T R I B U T E D L L C
H T T P : / / E V E N LY D I S T R I B U T E D . N E T
M E A S U R E T H E F U T U R E
H T T P : / / M E A S U R E T H E F U T U R E . N E T
A F F I L I AT E
M E TA L A B
H A RVA R D U N I V E R S I T Y
J G R I F F E Y @ C Y B E R . H A RVA R D . E D U
H T T P : / / J A S O N G R I F F E Y. N E T
T H E L I B R A RY B O X P R O J E C T
H T T P : / / L I B R A RY B O X . U S