ABOUT
In the digital transformation of integrating technology into the financial business, applying the latest technologies such as cloud computing, big data, artificial intelligence, blockchain, and 5G to the development of banking, insurance, securities, and other financial services, financial business processes are being reshaped to achieve Industrial upgrading.
ANTI-MONEY LAUNDERING
Making use of supervised and unsupervised algorithms to detect money laundering patterns, and iteratively optimize the Anti-Money Laundering Suspicious Case Evaluation Model (AML-SCEM).
Combined with the new features captured by the algorithm, leveraging multiclassification models to intelligently identify various types of AML and strengthen the effectiveness of AML. The AML-SCEM realizes the identification, early warning, and tracking of the key suspicious cases.
PAYMENT FRAUD DETECTION
AI to identify the certain key characteristics of fraudulent transactions that differentiate them from legitimate ones, and recognize patterns in the massive data observations to discern fraudsters from legitimate clients, spotting fraudulent transactions with very high accuracy.
CUSTOMER SERVICE CENTRE EMAIL ANALYTICS
Use natural language processing to efficiently analyze the inquiry emails in the customer service center, perform entity extraction and semantic analysis, sentiment analysis, so as to efficiently classify service types, quickly extract customer inquiries, intelligently match top-rated answers, and timely track customer service processes and feedback.