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Why high quality data annotation is the backbone of AI training?

Summary by Dataconomy
AI doesn’t learn in a bubble. It needs clearly labeled data to train and predict effectively. If the labels are wrong, noisy, or inconsistent, model performance suffers, sometimes in ways you can’t see until production. Working with a skilled data annotation company can make the difference between a model that works and one that doesn’t. Labeling isn’t just a step in the pipeline. It’s where model accuracy begins. What defines high-quality data …
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Dataconomy broke the news in on Thursday, June 12, 2025.
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