Simplify and optimize marketing management, improve internal operations and risk control while increasing revenue and saving costs with 4Paradigm AI solutions for banking.
leverage AI models to provide precision-targeted marketing across online and offline channels without customer disruption, ensuring marketing success.
Based on industry-leading AI technologies, build an AI-powered anti-fraud system covering all business scenarios.
Based on AI-powered anti-money laundering technology, significantly reduce the labor cost, and identify, analyze and report suspicious cases to eliminate under-reporting and over-reporting.
Integrate ML, knowledge graph, NLP and other technologies to enhance corporate banking service, capture marketing opportunities, and improve enterprise credit-granting and risk conduction.
According to IDC’s China Semiannual Artificial Intelligence Software and Application Tracker (1H 2020), 4Paradigm was ranked as the perennial champion in machine learning platform market share from 2018 to 2020 H1.
Recently, 4Paradigm has been named in “IDC Innovators: China AI-powered Financial Anti-fraud” report for its intelligent risk control platform and “IDC Innovators: Asia/Pacific Next-Generation Advanced Analytics” report for the AutoML product .
The AutoXing team from 4Paradigm won the first prize in the “Athena Cup” Data Mining Competition jointly hosted by ABC Bank and Financial Computerizing Magazine.
ABC Bank joined hands with 4Paradigm, Tsinghua University, Financial Computerizing, and other influential agencies to start the Financial AI & Big Data Alliance, aiming to promote the research, innovation, application as well as cooperation in AI and big data field.
Open banking has made the traditional marketing system no longer good enough for marketing across online and offline channels. AutoML technology enables precise match between customers and products, accelerated modeling and iterative model optimization.
Powered by 4Paradigm’s leading technology and algorithm, a bank built an intelligent anti-fraud model for online transfers and established a full-process intelligent anti-fraud system of “prior detection, interim blocking and post analysis” to protect customers’ assets.
As the first to apply AI model in anti-money laundering, the bank built up and continuously improved the intelligent anti-money laundering system to increase recognition accuracy, reduce labor cost, and identify launderers while improving business rules.
Utilizing advanced technologies, the bank realized complete, accurate and systematic group customer identification. With enriched data, the bank gained insights into the control and economic connections between corporate customers to better uncover opportunities and enhance risk conduction.
