The Risk Factor: Why AI Belongs at the Center of ERM Strategy

AI-Powered Enterprise Risk Management: Transforming Traditional ERM for Today's Dynamic Landscape

Emerging risks are accelerating at unprecedented speed, yet most traditional enterprise risk management strategies remain unprepared for today's pace of change. This forward-looking webinar explores how artificial intelligence is revolutionizing ERM by surfacing risk signals earlier, interpreting shifting stakeholder sentiment, and strengthening organizational resilience in ways previously impossible.

Why Attend

Traditional ERM approaches struggle to keep pace with rapidly evolving risk landscapes and emerging threats that require immediate attention. Organizations need modern strategies that leverage advanced technologies to detect, analyze, and mitigate risks before they escalate into significant challenges. This session provides essential insights for risk professionals evaluating how emerging technologies can enhance their strategic risk management capabilities.

Key Learning Areas

• AI Integration Framework: Understanding where artificial intelligence fits within modern ERM structures

• Real-Time Risk Intelligence: Exploring how risk leaders implement immediate threat detection and analysis

• Technology Bridge Solutions: Discovering how AI addresses gaps in fragmented risk management functions

• Predictive Risk Analytics: Learning how machine learning identifies and prevents risk escalation

• Stakeholder Sentiment Analysis: Utilizing AI to interpret and respond to changing stakeholder perspectives

What to Expect

This thought-provoking session features Michael Rasmussen, GRC Analyst and Pundit at GRC 20/20 Research, in conversation with host Chris Shaw, SVP of Risk Solutions at Signal AI. Participants will gain practical insights into how artificial intelligence and machine learning are transforming enterprise risk detection, analysis, and mitigation strategies while building more resilient organizational frameworks for uncertainty management.