HKAIFT works in three strategic directions:
AI-driven solutions advance game-changing financial services in retail lending, production and supply-chain financing, capital markets, institutional banking, and financial regulation.
AI-driven financial services
The AI-driven Financial Service program strives to advance game-changing commercializable research in the spaces of retail lending, production & supply-chain financing, capital markets, institutional banking, and financial regulation. We support R&D efforts in broad areas of business and finance, emphasizing fresh approaches and novel solutions that are driven by AI and big data.
These include extracting business value from data that is transferrable across behavioural scenarios, developing augmented intelligence to facilitate credit and insurance decision-making, promoting novel practices of financial risk management to strengthen financial stability, and FinTech applications to hedging and financing in production and supply-chain.
From wealth management to blockchain and token technologies, we support cutting-edge research with commercial potential in optimization and machine learning algorithms, deploying reinforcement learning and deep neural networks.
AI-Enhanced Financial Technology
The AI-enhanced Financial Technology program commits to nurturing ground-breaking technologies with in-depth research potential that are relevant to contemporary business and finance.
We support projects with commercial potential in novel wealth management solutions utilizing advanced ideas from data science, optimization and control.
We deploy machine learning algorithms including reinforcement learning and deep neural networks, leveraging federated machine learning structures and their application in asset pricing and investor behaviour. We also support blockchain and token technologies for application in securitization and asset management; smart contracts, and digital currencies.
Social media provides a gold mine of data for understanding and forecasting financial market environments. We aim to leverage the power of AI-driven technology and the availability of social media big data to serve a wide range of clients from regulators to investors.
Social media Analytics for Financial Technology and Services
Social media provides a massive quantity of data, constantly updated, which may be used to understand and forecast financial market environments. This data directly affects how the economy operates, how investors make decisions, how regulators function, how the public responds, and how economies/markets interact. We aim to leverage the power of AI-driven technology and the availability of such data to develop and deploy a set of intelligence systems in three key domains; financial opinion, international financial relations, and the financial darknet.
These systems can be commercialized in two formats: syndicated products such as trend reports, and customized services such as live-monitoring visualizers.