• Consumer Privacy in the Era of Big, Human Data: Possible?

  • 2015/06/09
  • 再生時間: 56 分
  • ポッドキャスト

Consumer Privacy in the Era of Big, Human Data: Possible?

  • サマリー

  • The buzz: Privacy. The fabled “360-degree customer insight” is within reach as Marketing enters an era of data science-driven insights. Brands can now understand customers like never before, via internal company data and human-created data from social media, mobile and wearable devices. But can your company build insights while protecting consumers’ privacy and gaining their trust? What should you do before rushing to the “art of the possible? Can IoT and privacy co-exist? The experts speak. Eleanor Treharne-Jones, TRUSTe: “Privacy…shouldn't be the price we accept for just getting on the Internet” (Gary Kovacs). Sagi Leizerov, EY: “The answer to effective de-identification of personal information and minimizing privacy risk is not a clear black-and-white. It is rather a constantly morphing 50 shades of gray.” Tim Barker, DataSift: “The future is already here—it's just not very evenly distributed” (William Gibson). Join us for Consumer Privacy in the Era of Big, Human Data: Possible?
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あらすじ・解説

The buzz: Privacy. The fabled “360-degree customer insight” is within reach as Marketing enters an era of data science-driven insights. Brands can now understand customers like never before, via internal company data and human-created data from social media, mobile and wearable devices. But can your company build insights while protecting consumers’ privacy and gaining their trust? What should you do before rushing to the “art of the possible? Can IoT and privacy co-exist? The experts speak. Eleanor Treharne-Jones, TRUSTe: “Privacy…shouldn't be the price we accept for just getting on the Internet” (Gary Kovacs). Sagi Leizerov, EY: “The answer to effective de-identification of personal information and minimizing privacy risk is not a clear black-and-white. It is rather a constantly morphing 50 shades of gray.” Tim Barker, DataSift: “The future is already here—it's just not very evenly distributed” (William Gibson). Join us for Consumer Privacy in the Era of Big, Human Data: Possible?

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