About the Speaker: With nearly 20 years of extensive experience in the financial risk and banking sectors, Deep Mukherjee has held pivotal roles at Fitch Ratings, American Express, and currently serves as the Associate Director of Risk Management & Data Science at BCG Gamma, BCG's Data Science and Advanced Analytics unit. His tenure as Chief Product Officer at TransUnion CIBIL, India's largest credit bureau, further solidifies his expertise in credit risk management.

A regular contributor to esteemed financial publications such as the Economic Times, Business Standard, Bloomberg Quint, and Mint, Deep Narayan Mukherjee also shares his insights as a visiting faculty member at IIM Calcutta.

Highlights:

Predictive and generative AI are revolutionizing decision-making, customer engagement, and risk assessments. In banking, AI applications extend to compliance automation, fraud management, and customer personalization. However, overcoming data complexity and balancing the accuracy-explainability trade-off are critical challenges. Advanced AI tools, such as Early Warning Systems for credit risk and fraud detection models, highlight AI's pivotal role in predictive analytics. AI in Finance is not just enhancing processes; it's transforming our understanding and utilization of data in banking.