Open banking is expected to be one of the most important FinTech development and is going to remodel the traditional banking and business environment. Facing the wave of the FinTech revolution, it is important to understand how the decentralization of blockchain technology improves and reshapes the business model with smart contracts to handle the traditional issue of information asymmetry. To enhance the financial inclusion of online and mobile payment service, banks are encouraged ( or required) to share data with third parties through an application programming interface (API). This concept of sharing of data upon different actors in the banking sector through blockchain network is often referred as an important part of Open banking. To catch up with the FinTech development, it is important that we understand the mechanism that customers manipulate their business in multiple places with multiple sources using open banking service.
Artificial intelligence (AI) and machine learning are widely used to handle massive amounts of data in financial markets. In recent years, AI and machine learning has played a significant role in the FinTech landscape, such as in auto loans, auto financial evaluation, auto financial risk analysis, auto financial information exchange, and auto investment. As AI and machine learning are making more and more automatic financial decisions (for example, programme trading), there has been increasing discussion on the role of human judgment . To catch up with the FinTech development, it is important that we have the knowledge to evaluate the financial predictions of artificial intelligence and machine learning so that humans can control the rapid advances in FinTech.
The seminars will provide participants with the knowledge of open banking and the financial predictions of artificial intelligence and machine learning so that we can catch up with the rapid advances FinTech.