• How AI is transforming traditional performance measurement methods, including real-time data analysis and predictive modelling.
• AI's role in enhancing risk-adjusted returns, attribution analysis, and benchmarking
• Practical use cases of AI in superannuation funds or asset management firms.
• Potential challenges in adopting AI-driven tools, such as data quality, integration with legacy systems, and compliance considerations.
• Future trends in AI applications for investment performance in the superannuation industry.