Is data the fundamental reason AI succeeds or fails?
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AI solutions do require meaningful, labeled training data sets to achieve desired outcomes,” says Vijayan. “Often, lack of availability of data for training is a key reason for failure.” Depending on the type of AI being applied, that may mean anywhere from thousands to millions of data examples to train the model.
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