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AI starts with data: Facing the challenges of data collection & annotation

Discover useful insights into the challenges of data preparation to ensure that your next artificial intelligence project is a success.

Facing the challenges of data collection and annotation

Information is the lifeblood of artificial intelligence projects. Without sufficient quantities of high quality, accurately labeled data for model training, machine learning algorithms will struggle to make the right predictions, no matter how well they are built. Created in partnership with AI Business, this e-book provides useful insights into the challenges of data preparation to ensure that your next AI project is a success.

This e-book covers:

  • checkmarkBest practices from experts in the field, including Bloomberg
  • checkmarkKey steps to eliminate common project issues such as bias
  • checkmarkWhat the future holds for developers of AI-based products and services
  • checkmarkTop reasons to outsource data collection and annotation

Hone in on data fundamentals

It's no secret that training data is critical to the success of any AI initiative. Lead with data.

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