An article in The Drum highlights the similarities between machine learning (ML) and digital advertising. In particular, it stresses the reliance on data and the challenges of limiting unwanted biases and protecting user privacy. The article explores using synthetic data as a solution to training ML models, which it claims would be faster than collecting real-world data. Furthermore, it could account for fringe or anomalous events that may not otherwise be reflected. To conclude, the article cites a Gartner statistic that "synthetic data will outnumber real data in the training of AI models by 2030."
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