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Availability of training data: Deep learning’s efficacy relies heavily on dataquality, with simulation environments bridging the gap between real-world datascarcity and training requirements.
Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: datascarcity and privacy concerns.
By leveraging GenAI, businesses can personalize customer experiences and improve dataquality while maintaining privacy and compliance. Introduction Generative AI (GenAI) is transforming Data Analytics by enabling organisations to extract deeper insights and make more informed decisions.
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