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Why High-Quality Data is Crucial to Fighting Financial Crime
The fight against financial crime is becoming increasingly complex. As the debate around AI responsibility rapidly evolves, financial institutions must now consider AI implications and effectiveness within their firm's business strategies, especially in compliance functions, where AI has already begun to become broadly embedded. The increasing prominence of AI also means that firms may leave themselves exposed to unexpected risks if they do not carefully consider the quality of the data that fuels the AI system.
Findings from Kroll's 2023 Fraud and Financial Crime Report indicate that global enforcement actions are expected to rise. Firms must be aware that regulators are increasing scrutiny of the use of technology as part of firms' AML compliance programs.
AI has proven transformative, particularly in combating financial crime. AI-powered systems can accurately analyze swathes of financial data in real-time, swiftly detecting suspicious or potentially criminal activities. As a result, AI has emerged as a crucial tool in preventing fraud, identifying money laundering risks, enforcing sanctions compliance and performing know your customer (KYC) checks.
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