Since it lacks personal details, synthetic data can help insurers address a number of challenges including regulatory compliance and data-set bias. (Lia Kolyrina/Shutterstock) Since it lacks personal details, synthetic data can help insurers address a number of challenges including regulatory compliance and data-set bias. (Lia Kolyrina/Shutterstock)

Come 2022, 85% of algorithms will be erroneous due to bias, according to Gartner.

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