Parametric Solutions: Rethinking Resiliency with Event-Based Risk Transfer
Four-Part Educational Video Series
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Hear from Aon and industry thought leaders to increase your working knowledge of Parametric Solutions through our upcoming four-part educational video series. Each 45-minute session will cover distinct topics and we encourage you to attend each one live or on demand.

Following registration, you will receive a confirmation email with access to upcoming and on-demand sessions. Please ensure you add each session to your calendar.

Part 1: Parametric Solutions Overview - Innovating to Enhance Risk Transfer 
September 13, 2023 | 11:00 am CT
Aon will introduce an overview of parametric solutions and demonstrate how parametric can complement other forms of risk transfer. Our thought leaders will interview a key provider of capital in the parametric space for perspectives on success stories, emerging use cases and developments.

Part 2: Parametric Solutions for Earthquake Risk and Managing the “Grey Swan”
October 11, 2023 | 11:00 am CT
Explore strategic use cases for mitigating uncertainty and closing the protection gap, societal readiness for earthquake risk, and how event-based capital is prepared to respond. Learn how takeaways from earthquakes can apply to other perils and emerging risks.

Part 3: Parametric for Emerging Perils - How Technology is Enabling Risk Transfer Innovation
November 15, 2023 | 11:00 am CT
As “secondary perils” continue to emerge, discover how technology advancements like satellites and sensors can help enable risk transfer innovation. Explore how these tools can be applied to address concerns around supply chain risks and climate change.

Part 4: Parametric - Critical Tool in the Toolbox for 2024 Wind Season
December 13, 2023 | 11:00 am CT
To conclude our series, Aon will provide an outlook on 2024 wind season expectations and the uncertain market for traditional risk transfer solutions. Our thought leaders will also cover why parametric solutions are a key part of the capital strategy for hurricanes based on market predictions.