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Data-Centric AI

The Ultimate Guide to the New AI Paradigm

Download the Whitepaper

Have you ever wondered how to lead your organization towards successful AI/ML projects that will deliver long-term business value? 

Then Data-Centric AI is likely to teach you how to achieve this. This AI field is both a new topic of interest for academics and a set of emerging tools and practices.

By reading this ebook, you’ll get insights on: 

  • How training data can make or break your AI project;
  • The 8 key benefits of a data-centric approach to AI;
  • The best practices and insights for delivering successful machine learning projects that will transform your business. 

More and more products are powered by machine learning. That’s why it's [capital] to think about ethics and to make sure [its] impact [is] positive.“

Clément Delangue
Co-founder & CTO
@Hugging Face

“Our Data-centric approach to AI
has helped us achieve a categorization of our own categories that is accurate in more than ninety-five percents of the videos.”

Andrea Colonna

But the real-world experience of those who put them into production shows that (...) it's often the quality of data (...) that makes your AI project succeed or fail.”

Edouard D'Archimbaud
Co-founder & CTO
@Kili Technology

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Labeling Platform for High-quality Data

One tool to label, find and fix issues, simplify DataOps,

and dramatically accelerate the build of reliable AI