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Extracting maximum value from data while protecting consumer privacy. Jason McFall, Privitar

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Big organisations have a wealth of rich customer data which opens up huge new opportunities. However, they have the challenge of how to extract value from this data while protecting the privacy of their individual customers. He will talk about the risks organisations face, and what they should do about it. He will survey the techniques which can be used to make data safe for analysis, and talk briefly about how they are solving this problem at Privitar.

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Extracting maximum value from data while protecting consumer privacy. Jason McFall, Privitar

  1. 1. Extracting maximum value from data while protecting consumer privacy Jason McFall jason.mcfall@privitar.com
  2. 2. https://www.flickr.com/photos/jamescridland/613445810
  3. 3. http://www.informationisbeautiful.net/visualizations/worlds-biggest-data-breaches-hacks/
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  5. 5. What has this got to do with ?
  6. 6. In Cambridge, Mass 6 shared birthdate 3 were men 1 in same zip code
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  8. 8. 12 https://tech.vijayp.ca/of-taxis-and-rainbows-f6bc289679a1#.jbjimbh1f
  9. 9. http://research.neustar.biz/2014/09/15/riding-with-the-stars-passenger-privacy-in-the-nyc-taxicab-dataset/
  10. 10. What are we doing at Privitar? • Building privacy protection into Hadoop – we’re a spark application that runs on customers’ Hadoop clusters • Building a product around the latest state of the art techniques, and driving collaborative industry/academic research • Developing statistical approaches to protect privacy while preserving analytic power • We’re a software product company, working mostly with banks and telcos initially, but with far wider applications
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  13. 13. Credit: Highways Agency
  14. 14. Interested in working in this important area? jobs@privitar.com 20

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