
Improving the KYC Data Foundation to Enhance KYC Operations
While Client Lifecycle Management (CLM) software has become integral to many banks' KYC strategies, it alone cannot address all data and entity management challenges.
Carl has more than 15 years’ experience in regtech and fintech software utilizing artificial intelligence/machine learning to detect financial crime, both in regards to anti-money laundering efforts and fraud. Before leading Quantexa’s KYC solutions team, he was a project manager for IBM’s Financial Crimes division.

While Client Lifecycle Management (CLM) software has become integral to many banks' KYC strategies, it alone cannot address all data and entity management challenges.

Analyzing cryptocurrency transaction data to manage risk and meet KYC and AML requirements demands specialized analytical tools. Here's why.