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Patterns for technology thinking

Michell Zappa
December 01, 2016

Patterns for technology thinking

Technological patterns for making sense of the future.
Presented in London & Amsterdam 2016.

Michell Zappa

December 01, 2016
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  1. Welcome and thanks for being here. Today we'll talk about

    technology and how to anticipate the future.
  2. Patterns for technology thinking Presented by Michell Zappa
 December 2016

    – Amsterdam Envisioning In 2011, I founded an organization called Envisioning. Envisioning means "to picture a future event”, but carries a positive connotation which I particularly care for. If the future is something we create, then we should do so with optimism.
  3. Nowadays we develop interactive visualization tools and use crowdsourced intelligence

    for estimating technological progress. Most of our work is published for free on envisioning.io
  4. United States Department of State United Nations World Food Programme

    We have worked with organizations in both public & private sector.
  5. Quite a few of you are worried about tech and

    perhaps where it’s heading. Tech is fast-moving & unpredictable, but it’s better understood from a different perspective. I will present 6 principles for how to think about technology over time.
  6. Unlike the ancient Greek centaur, this centaur was coined ~

    20 years ago. The story begins in New York City with a famous chess championship –
 Between IBM’s Deep Blue supercomputer & chess grandmaster Garry Kasparov.
  7. You probably remember how the game ended – with Deep

    Blue famously winning against Kasparov.
  8. Leon, Spain Kasparov organizes the world’s first championship in Freestyle

    Chess –– sometimes called Centaur Chess. In Freestyle Chess, human players are assisted by computers, pieces of software and database tools.
  9. Instead of pitting Man versus Machine, Centaur chess is all

    about having Man and Machine collaborating.
  10. As it turns out, for the last decade, the world’s

    best chess players have essentially become centaurs. Since 2005, championships where grandmasters, supercomputers and Centaurs participate, have started being won by centaur players. Centaurs are generally equipped with consumer PCs, not supercomputers. By combining human intelligence with technological intelligence, these players tend to outplay either.
  11. But interestingly enough, the Centaur phenomenon is popping up in

    other domains. For example, when Netflix purchased the rights to House of Cards, this represented their first big bet on custom programming. Being a tech company with over 10 million customers, they decided to use data to maximize the chance of the series becoming a hit.
  12. Instead of trusting a traditional casting process, the showrunners elected

    Kevin Spacey and David Fincher by correlating viewer data with IMDB data. By looking at the data, they identified actual viewer preferences with successful casting investments. https://www.wired.com/insights/2014/03/big-data-lessons-netflix/
  13. Human intelligence was augmented by machine intelligence. Netflix's investment risk

    was minimized, and the series became a massive success.
  14. We also find this behavior at BuzzFeed, one of the

    world's fastest-growing media brands. Customer metrics are intensely analyzed to determine what clicks and what's shared. Editors and journalists access data dashboards to learn about viewer behavior and therefore maximize their impact. https://www.buzzfeed.com/daozers/how-buzzfeed-thinks-about-data-and-some-charts-too
  15. Amazon acts similarly when routing workers throughout their warehouse. The

    system has data on workers location through custom technology. Workers follow instructions on which isle to visit, or which robot to hand parcels over to. Amazon even measures the height of each employee to make sure they’re optimized for each product pickup. http://mentalfloss.com/article/61249/13-secrets-amazon-warehouse-employees
  16. Formula 1 is arguably a Centaur sport. F1 racing is

    the careful interplay between a highly trained human with a tightly tuned machine.
  17. This is especially visible from behind the scenes, where we

    notice each racer has multiple humans and multiple machines in the team.
  18. We usually think about technology in terms of its artifacts.

    The devices we wear, the services we use, the gadgets we use.
  19. In fact, technology is everything that surrounds us. Fire, agriculture

    and money are examples of technologies deeply ingrained in society. (To the point of becoming invisible.)
  20. Example of something that got faster & cheaper. 2016 NES

    costs €70, is 1/5 the size of 1986 NES, and comes with the equivalent of € 3.000 worth of games.
  21. The effect of exponential change indirectly affects everything around us.

    We see it in tourism, where Streetview has enabled us to see virtually any inhabited location on earth, because of affordable geo-located 360º cameras.
  22. If technology is everything we make – and if technology

    is speeding up – that means everything is accelerating
  23. A century ago, the car was predicted as “faster horse”.

    More speed & less manure, but otherwise similar.
  24. But nobody really anticipated the traffic jam as a direct,

    but unintended consequence of inventing the car. Photo = China, evidently :-)
  25. This is because a mis-match between our expectations and how

    reality actually behaves. Our perception of the world is largely linear, whereas technology makes certain aspects of reality behave exponentially. We overestimate the short-term effects of technology while underestimating it's long-term effects.
  26. Here, I have indicated 6 organizations which have 2 things

    in common: 1. They have each been around for decades (or centuries) 2. Their business models are all being encroached on by emerging technologies
  27. Meanwhile, these startups are increasingly being acquired by technology giants.

    In other words, it seems everyone now competes with trillion-dollar tech companies.
  28. And if all companies are technology companies, that means there

    is “technology industry”. We are ALL in the technology industry.
  29. Consider technology a toolbox, not an industry. Pick & choose

    the techniques, platforms, softwares and business models that best suit your organization.
  30. In order to have a “smartphone”, first you need to

    invent the touch screen, battery, data communication and geolocation.
  31. Ex: Drones and VR equipment make further use of the

    technologies in smartphones, such as high-resolution screens and gyroscopic sensors.
  32. There is a strong correlation between ideas that were conceived

    of in science fiction, and actual products inspired by these ideas.
  33. Sometimes the technology is even named after the Sci-Fi from

    where it was derived (Star Trek → Motorola StarTAC)
  34. All technologies begin as ideas. These ideas can exist in

    the pages of a science fiction novel, or in the head of an Airbus engineer. Some ideas are further developed into concepts. Some concepts become prototypes. Some prototypes eventually develop into products. This does not mean all ideas become products, but that all products begin as ideas. Science fiction plays a considerable role in developing the public imagination of what is possible.
  35. We can look ahead at Sci-Fi inspired emerging technologies currently

    being developed. Knightscope robotic patrol is the first step towards a RocoCop future.
  36. ALIEN presents the idea of asteroid mining. Recently, Luxembourg started

    developing legal frameworks to permit asteroid mining in deep space. Also, the company Planetary Resources. http://www.spaceresources.public.lu/en/index.html
  37. Arguably, VR is the first step towards the Star Trek

    Holodeck. We can expect a LOT more of this as more and more technologies become possible. Protip: consume more Sci-Fi!