How to Develop a Training Data Strategy for Machine Learning


Our white paper covers important elements for a successful machine learning training data strategy including:

  • Budgeting. Learn about the investment required to get your initiative off the ground, and maintain it.
  • Data sourcing. The type of data you’ll need depends on the kind of solution you’re building. Learn what data types are appropriate for your project and how to acquire it.
  • Data labeling. Learn about popular strategies for annotating data accurately and expeditiously.
  • Quality and security. Gain a deeper understanding of how these two critical aspects of any data training project can affect business outcomes.
  • Annotation resources. Know what important considerations factor into the decision to either outsource your data annotation or source it internally.

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Read more here: AI Trends

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