Financial institutions are highly dependent on human expertise for manual document checking and this creates scalability constraints and cost inefficiencies. Knowledge is not retained within organisations due to human attrition which leads to high training costs. More importantly, there are delays in data synchronisation which potentially leaves the organisation vulnerable to operation, regulatory risks.
Machine reading comprehension technology accurately extracts required information within unstructured documents to reduce human dependency on repetitive tasks.
Rule engine turns human knowledge into organisational asset and deploys intelligent automation for enhanced efficiency.
Intelligent automation combines artificial intelligence and expert knowledge to conduct real-time monitoring for illicit activities, in order to decrease operational, compliance or investment risk
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