AI and Smart
Decision Analytics

To expedite investors' information processing, we will use machine learning over vast amount of textual data to develop a system and associated algorithms that can automatically summarize not only the financial forecasting of experts, but also their explanations behind that forecasting.

This research can be strategically important to Singapore. MAS can use it to verify whether analysts are providing misleading investment recommendation to their clients. SGX can better monitor the financial forecasting from public firms to ensure listed firms operate according to the rules. The new system helps institutional investors filter out low-quality investment recommendations. Finally, retail investors can be better protected from "fake news".

Moreover, we explore the efficiency and effectiveness of new graph analytics and learning algorithms/systems to broader scopes on banks, accounts, transactions, and their relationships. Compared with existing products and systems such as Neo4j, this research aims at detecting and preventing more frauds in a much timelier fashion. The targeted speedup would be over an order of magnitude to satisfy the increasing trends of future digital finance.