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 VP AI @Jellysmack
“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.”
