As Private credit is evolving rapidly, yet many investment teams still rely on analytical frameworks originally designed for public markets. As portfolios become more complex and scrutiny around valuations, risk and transparency increases, firms need tools that reflect the unique characteristics of private credit rather than adapting public market models.  

This fireside chat will explore how AI and asset-class-specific data are transforming private credit analytics. Learn how leading firms are building more predictive risk frameworks, improving transparency and generating deeper portfolio insights to support stronger underwriting, monitoring and investment decision-making across the private credit lifecycle.