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The trade-offs of time-series synthetic data generation

High-quality synthetic time-series datasets greatly help many organizations, from the financial industry to IoT, as they enable data-sharing and boost Machine Learning performance. The temporal order of time-series is of high value and for that reason, respecting that pattern while remaining privacy-compliant is vital for the generation of synthetic data.