Sarang Kulkarni

The rise of AI, machine learning, and predictive analytics is enabling credit investors to make faster, more informed decisions by combining traditional financial data with alternative data sources. This session will explore how advanced analytics are being applied across origination, underwriting, monitoring, and risk management workflows to enhance credit assessment, detect early-warning signals, and optimize portfolios.

Gain practical insights into how AI and predictive models can complement human judgment, improve risk-adjusted returns, and drive operational efficiency, while navigating data governance, model validation, and adoption challenges.