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The definitive guide to buying a training data platform

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The definitive guide to buying a training data platform - Image

A Training Data Platform (TDP) is an investment in your models' maturity, accuracy, and endurance — so choosing one from the available options can be a difficult decision, especially with taking your use cases, stakeholders, existing processes, and future goals into account.


That's why we've created a comprehensive checklist of features and capabilities that a TDP should have to best serve your specific requirements as your ML needs scale. The list includes:

  • Annotation features such as an intuitive editor, collaboration tools, and configurable editors

  • Management tools such as real-time queueing, advanced workflows, and security features

  • Iteration capabilities such as quality management workflows, analytics, and labeling automation

Access the guide