Simply removing variables concerning race, gender, socioeconomic, geodemographic or other attributes is not enough to eliminate historical bias. Simply removing variables concerning race, gender, socioeconomic, geodemographic or other attributes is not enough to eliminate historical bias. (Photo: ipopba/Adobe Stock)

Due to significant industry challenges which have been considerably accelerated over the last 18 months, such as emerging fraud and increasingly sophisticated schemes, AI has rapidly evolved into a strategic priority and is among the leading keys for success among insurers today.

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