Data-Centric AI: Why This Trend Is Here To Stay (Panel)
To scale AI solutions across nearly every industry, data quality becomes increasingly important. With a data-centric approach, industries that aren’t typically synonymous with AI-driven applications can use AI to drive innovation because of excellent data collection, labeling, and transformation.
In this discussion, we explore how data scientists and ML/AI practitioners can use data-centric AI to make real-world models effective and scalable.
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