The application of artificial intelligence and machine learning to solve today’s problems requires access to large amounts of data. One of the key obstacles faced by analysts is access to this data. In this piece for Privacy Tech, Replica Analytics CEO Khaled El Emam explains how synthetic data can help solve this problem in a privacy preserving manner. El Emam offers a definition of synthetic data and how it can be used, while also touching upon the issues that need to be considered to use the information responsibility.
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