On-demand

As financial institutions face unprecedented complexity—ranging from geopolitical shocks to climate risk and evolving regulatory expectations—risk professionals are under pressure to move faster and see further. In this space, Artificial Intelligence (AI) is no longer just a tool for automation—it's becoming a transformative force for augmenting human judgment with probabilistic forecasting, early-warning systems, and cognitive bias detection. 

Join Rafael Hartke, CEO of Imagine Risks and Analytics, for a thought-provoking session on how banks and risk professionals can responsibly integrate AI into risk models and decision-making frameworks. Through real-world use cases and actionable guidance, you'll learn how institutions can operationalize AI while maintaining regulatory rigor and ethical oversight. 

In this webinar, we’ll cover these critical themes: 

• From reactive to predictive: Explore how AI-driven analytics and machine learning enhance traditional risk modeling, including Monte Carlo simulations and scenario planning. 
• Bias, explainability, and governance: Learn how to navigate the challenges of cognitive bias, model transparency, and auditability when deploying AI in risk contexts. 
• Embedding AI in the three lines of defense: Gain practical strategies for integrating AI across enterprise risk, compliance, and internal audit functions to improve collaboration, consistency, and foresight.