ML to Optimize Suspicious Transaction Detection

MAS is exploring how machine learning and aritificial intelligence can be applied to the investigation of suspicious transactions, a process that currently generates a high rate of false positives

• Use cases, geography and tags
• Organizations that created, adopted or are mentioned
• Ecosystem position
• Link to the original asset
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