Data-centric AI using global crowd labeling


In this webinar, we will initially review the fundamentals of Model-Centric AI vs. Data-Centric AI. We shall then showcase how the platform supports data-centric AI using adaptive sampling of the labeling from global crowds, automatic enrichment of the crowd itself, exploring the quality and consistency guarantees, and more.

In this webinar you will learn:
– Some fundamental model-centric AI concepts and understand their limitations
– What data-centric AI is, and its key benefits
– Algorithms used in data-centric AI platforms to ensure quality


Vadym Boikov
Head of AI,

Prof. Shai Dekel
Visiting Associate Professor, School of Mathematical Sciences, University of Tel Aviv. General Partner, TLVSeed.

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