Aereve’s Approach in tackling one of today’s most acute AML screening issues, using the latest AI methodology, focus on switching towards more manipulations being performed on non-Latin languages when dealing with origin sanction data (which sources are amongst non-Latin spoken countries). This Approach has proven to give a faster and more efficient turn-around response to a wider spectrum of information users. In the years to come, we can see the rising demand of different categories of information users adopting this Approach, be them looking for a more categorized sanction list, or in order that they can derive from it a more risk-based, and perhaps a more tailored-to-specifications Institutional Risk Assessment (IRA) result, that they can precipitate for their own customized use.
Eric Chan
Certification Chairman, The Institute of Compliance Officers
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