About this Topic
This forward-looking day examines how AI is revolutionizing risk management and what capabilities organizations need to build for the future. We explore both the opportunities and limitations of AI-powered risk tools, helping participants understand when these technologies add genuine value versus when they create sophisticated-looking but ultimately misleading analyses.
AI-powered risk identification workshops demonstrate how machine learning can scan vast amounts of data to identify risks that human analysis might miss, while also teaching participants to critically evaluate AI-generated risk assessments. We examine case studies of organizations successfully using AI for horizon scanning and emerging risk identification.
Emerging risk horizon scanning sessions focus on systematic approaches to identifying risks that could fundamentally disrupt business models or strategic assumptions. Participants learn structured methods for scanning weak signals and connecting seemingly unrelated trends that could create significant future uncertainties.
Digital risk management transformation workshops help participants understand how to build technology-enabled risk capabilities without falling into the trap of digitizing fundamentally flawed RM1 processes. We explore how to use technology to integrate risk analysis more seamlessly into business decision-making rather than automating compliance activities.
The day concludes with action planning sessions where participants develop specific implementation roadmaps for their organizations, identifying quick wins, medium-term capabilities to build, and long-term transformation goals. Each participant leaves with a concrete plan for advancing decision-centric risk management in their specific organizational context.
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