There are three main questions of the use of machine learning for the definition of products and services and the required segmentation of customers where they come, where they and where the bank users visit. For this reason, a predictive model that is defined by the operation team is mandatory, both the customers' needs are defined in the channel and the services of both the channels, where the banking users show more commitment.
Some financial market companies specialize in solving this problem. Brighterion is one of the fintech one that today stands out for its automatic learning services for bank fraud associated with credit cards, to give an example. Company's products combine with 10 artificial intelligence technologies, through which the machine is able to learn, predict and decide in real time. This is a cognitive computing platform. Brighter has four anti-fraud products:
The platform is capable of recording and learning behavioral and cost-effective practices of each card holders issued by a bank.
Tool capable of detecting personal or security data violations related to credit card and irregular transaction.
Bank loan risk prevention instruments.
Use of unsecured learning process to detect international money laundering behavior. The platform collects data from different sources, always analyzes data in real-time, and follows the flow of funds between customers and organizations to avoid londing.
