Why Data Annotation is the Secret to Hacking AI

Michael Goldberg, VP of Marketing at Innodata

  • “What enterprises really need as they develop their AI strategy is to integrate, clean, link, and supplement their data so they have an accurate foundation on which to build and train their machine learning algorithms.
  • “Data-related challenges are a top reason (our) clients have halted or canceled artificial-intelligence projects,” said IBM’s senior vice president of cloud and cognitive software, Arvind Krishna,
  • 80% of AI project time is currently spent on data preparation.

https://insidebigdata.com/2019/09/28/why-data-annotation-is-the-secret-to-hacking-ai/