Data for the People

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A01=Andreas Weigend
artificial intelligence
Author_Andreas Weigend
Category=UBW
Category=URD
corporations
Data and Goliath
data sharing
digital dossier
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
online identity
online security
privacy
transform data
useful data

Product details

  • ISBN 9780465044696
  • Weight: 548g
  • Dimensions: 165 x 242mm
  • Publication Date: 31 Jan 2017
  • Publisher: Basic Books
  • Publication City/Country: US
  • Product Form: Hardback
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A long-time chief data scientist at Amazon shows how open data can make everyone, not just corporations, richer

Every time we Google something, Facebook someone, Uber somewhere, or even just turn on a light, we create data that businesses collect and use to make decisions about us. In many ways this has improved our lives, yet, we as individuals do not benefit from this wealth of data as much as we could. Moreover, whether it is a bank evaluating our credit worthiness, an insurance company determining our risk level, or a potential employer deciding whether we get a job, it is likely that this data will be used against us rather than for us.

In Data for the People, Andreas Weigend draws on his years as a consultant for commerce, education, healthcare, travel and finance companies to outline how Big Data can work better for all of us. As of today, how much we benefit from Big Data depends on how closely the interests of big companies align with our own. Too often, outdated standards of control and privacy force us into unfair contracts with data companies, but it doesn't have to be this way. Weigend makes a powerful argument that we need to take control of how our data is used to actually make it work for us. Only then can we the people get back more from Big Data than we give it.

Big Data is here to stay. Now is the time to find out how we can be empowered by it.

Andreas Weigend is one of the world's foremost experts on the future of big data, social-mobile technologies, and consumer behavior. He teaches at Stanford University, the University of California, Berkeley, and Cheung Kong Graduate School of Business in China. He is the founder and director of the Social Data Lab. He lives in San Francisco, California.

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