18. “…nobody notices oﬀers they do notget. And if these absent opportunitiesstart following certain social patterns(for example not oﬀering them tocertain races, genders or sexualpreferences) they can have a deep civilrights eﬀect.” Anders Sandberg, Oxford University
19. Personalization looks a lot like prejudice.
20. Big radio
21. Times a song in “heavy rotation”is played each day30 Every 55m15 Every 4h 0 2007 2012
22. Do Ev n’t ha en fee d a Ein l ba the stein d. rap ist .Don’t feel bad.
23. 24 months ago, the averageperson was still afraid of IT.
24. Today, the average person isterriﬁed of being without it.
25. So we have a lot of data. Now we’re a smarter species, right?
26. “Anyone whovalues truthshould stopworshippingreason.” (AKA the real world.)
29. Sun templehttp://www.ﬂickr.com/photos/30787002@N02/3298693694/sizes/l/
30. Polarizing through tone
31. Pew and political polarization
32. We’re bad at this Mistake correlation for causality Seek truthiness rather than fact Find patterns where they don’t exist Easily swayed by tone Side with our tribes Dig in and ignore new evidence
33. Athenian swimming pools
34. What will be normal tomorrow.
35. “All truth passes through threestages. First it is ridiculed.Second, it is violentlyopposed. Third, it is acceptedas being self-evident.” Arthur Schopenhauer, philosopher (1788-1860)
36. Saturday morning cartoons
37. Saturday morning cartoons
38. Saturday morning cartoons
39. Saturday morning cartoons
40. Saturday morning cartoons
41. Our rotation about the sunThe immorality of slaveryA woman’s right to vote ... were once heresy.
42. Four big bets.
44. This explains so much.
45. How long until it’s cruel not to scan your baby?
46. Minority report
47. How long until it’s unethical not to predict mass murder?
48. Look at my feed, yemighty, and despair.
49. How long until our feed isn’t amatter of record like our Social Insurance Number?
50. Google Glass and prosthetic brains
51. How unfair will it be?
52. How long until we have aprosthetic brain from birth?
53. What if, tomorrow,
54. genetic mapping
55. predictive arrests
56. a state-sanctioned life feed
57. and birth-issued prosthetics
58. aren’t just normal...
59. ...it’s immoral not to have them?
61. “A subjective degree of belief should rationally change to account for evidence.” (AKA Bayes’ Theorem.)
62. Photo by Jeﬀ Pang on Flickr. http://www.ﬂickr.com/photos/jeﬀpang/3165283767/expectations. Pretty high
63. Are they being met?
64. What would be a perfectindustry to capitalize on Big Data?
65. Tons of information.
66. Public and private.
67. Data collection is inherent.
68. What’s collected identiﬁes people uniquely.
69. Structured and unstructured.
70. Ubiquitous and mobile.
71. Consumer-facing, tied to loyalty.
72. Enabled by sensors and interfaces.
73. The best test: An industry where “the right information in the right place just changes your life.” (which was what Stewart Brand said)
74. Photo by Garysan97 on Flickr. http://www.ﬂickr.com/photos/16983197@N06/7808610268/
75. The travel industry is theposter child for Big Data innovation.
76. (Show of hands?)
77. Photo by James Vaughan on Flickr (http://www.ﬂickr.com/photos/x-ray_delta_one/4567365854/)
78. http://www.ﬂickr.com/photos/sodaniechea/7418759618/Welcome to LA.
79. Instead: have a free room!
80. (Admittedly, these are ﬁrst-world problems.)
81. Is this a lackof data?
82. No, lack of outcomes.
83. Change is hard.(habits don’t change easily)
84. “Most organizational changeefforts still underperform, fail, or make things worse.” Walter McFarland, This is your brain on organizatinal change, October, 2012, Harvard Business Review
85. “A person’s reaction to organizational change ‘can be soexcessive and immediate, that someresearchers have suggested it may be easier to start a completely new organization than to try to change an existing one.’” Kenneth Thompson and Fred Luthans
87. Maybe disruption requires having nothing to lose?
88. Amazon & e-books.
89. Netﬂix & videos.
90. Paypal & online payment.
91. Über & taxi services Not a car service.A supply chain optimization platform.
92. Tomorrow’s best ideas are obvious in hindsight.
93. But to create them,companies need to change radically.
94. In fact, they need to change how they change.
95. Legacycompanieshave all thecards. http://www.ﬂickr.com/photos/locosphotos/6608106173/
96. Photo by Paul Falardau on Flickr (http://www.ﬂickr.com/photos/pfala/4189061616/) how to play them. They just don’t know
97. Alistair Croll @acroll www.solveforinteresting.comTHANKS! email@example.comSOLVEforINTERESTINGOTHERWISE LIFE IS DULL.