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Big Data A Workshop Report (2012) / Chapter Skim
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3 Second-Day Discussion
Pages 9-14

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From page 9...
... Some workshop participants said that machines and humans must learn to work together to exploit the burgeoning world of big data. For example, Gary Kasparov's 2005 free-style chess tournament, in which teams could be composed of any combination of humans and computers, was won by two amateur chess players running open source chess engines on simple off-the-shelf laptops -- not by grandmasters, prodigies, or chess supercomputers.
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From page 10...
... CLOSING REMARKS At the end of the April 2012 workshop, the chair asked committee members and speakers in attendance to make any final comments on what they had heard over the two days. These comments are made as a summary for the workshop: Ken Kress -- "Big data" is more than just a change of scale -- it is a more persistent threat than we have previously observed." Al Velosa -- "Progress in the human-machine interface will reduce friction and will allow capability enhancement for the individual, but we will mostly likely experience a fluidity of people more pronounced than we have ever seen." David Thurman -- "I am struck by how different are the threat and impact of big data versus ballistic missiles and other classical threats because of the acceleration of commercially driven offerings, none of which are as controllable as the classical threat domains." Asher Sinensky -- "Now more than at any time in history, we must demand flexibility and adaptability in the tool sets we create for the problem at hand, because those problems are changing faster than ever before, and we don't have time to create a new generation of inflexible tools to counter each new twist." Mikhail Shapiro -- "The highest value should be placed on the human capital, the engineer, and that asset is an asymmetric economic issue." Brian Ballard -- "The big question is how to organize the data and make it accessible to the problem solvers.
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From page 11...
... Kasparov drew the only conclusion he could: "Weak human + machine + better process was superior to a strong computer alone and, more remarkably, superior to a strong human + machine + inferior process." This revelation points to the essential evolution of the conclusion from Deep Blue in 1997 -- that humans working together with machines can solve big data challenges better than computers alone. Tackling big data means more than just algorithms, high-performance computing, and massive storage -- it means leveraging the abilities of the human mind.
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From page 13...
... Appendixes
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Key Terms

  • chess supercomputers
  • chess tournament
  • chess engines
  • chess players
  • data challenge

  • amateur chess
  • source chess
  • david thurman
  • asher sinensky
  • players running

  • sensor data
  • own chess
  • data acquisition
  • tackling big
  • analyzes data

  • data versus
  • formidable chess
  • data encompasses
  • heterogeneous data
  • solve big

  • distributed data
  • data production
  • data challenges
  • chess supercomputer
  • chess master

  • data means
  • optimal combination
  • human interaction
  • demand continues
  • classical threats


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