Data as a Service Overview and Landscape

  • Use of de-identification technologies to enable use of more sensitive data
  • Growth of data exchanges that curate data assets for buying and selling
  • Rise of data enrichment companies enabling companies to monetize data
  • The emergence of traditional companies in the Data as a Service category
  • I see the productization of cryptography techniques enabling secure and private use of data, leading to more sensitive data being available to data scientists, and continuing to accelerate machine intelligence and bringing valuable products and applications to consumers.
  • The building of new business models to access, buy, and sell data

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