In the present Data-Centric AI environment, businesses are keen to harness their data for competitive benefits.
They must decide whether to purchase existing solutions or develop their own. This is particularly relevant in the synthetic data generation realm, where there's a need to bridge data gaps, promote data sharing, and address privacy and compliance concerns. As a result, there's a rising demand for synthetic data solutions, both open-source and proprietary.
In this white-paper it is compared Fabric functionalities against the Synthetic Data Vault (SDV), a popular open-source option, to help organizations make an informed choice.
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