Our main projects
Main projects we are undertaking
P001: Software Engineering Practices for Machine Learning
This project investigates novel architectures & processes to efficiently label, train and test machine learning systems for business applications. This includes the use of AutoML and new collaborative 鈥渃ode-free鈥 technologies to simplify AI system design/production within a large enterprise.
P002: Applying big data analytics and machine learning in Fintech
This project investigates new applications in the FinTech sector that involve the use of AI and machine learning techniques to process large amounts of structured and unstructured data to support decision making. Priority will be given to new applications that are addressing the challenges arising from the adoption of ESG (Environment,聽Social,聽and聽Governance) regulations and guidelines worldwide.
P004:聽 Enhancing Enterprise Architecture Modelling
The project aims to explore strategies for improving the quality of answers generated by Large Language Models (LLMs) in response to enterprise-related queries through the use of knowledge graphs to model enterprise and domain-specific ontology.
P005: Developing AI-driven tools to maintain data standards and empirically validate investment outcomes for the managed accounts sector
The Australian funds management industry is seeing a major shift from collective investment products such as unit trusts to more individually oriented separately managed accounts (SMAs). New financial advice provided by financial planners now directs one in every two dollars of client money into the burgeoning $200 billion managed accounts sector.
"Your main project is not just a task to complete, it's a journey to embark on. It's the opportunity to create something that will outlast you and make a difference in the world. It's the chance to challenge yourself, to grow, to learn, and to become the best version of yourself. So don't just approach your main project as a job to do, but as a calling to fulfill."
- Unknown.