Live Event Intelligence Moves Into Catastrophe Decisioning
Insurers are combining live geospatial event data with catastrophe models to make faster post-event underwriting, claims, and capital decisions.
What is this trend?
Live event intelligence is being fused with catastrophe models so insurers can turn post-event signals into faster underwriting, claims, and capital decisions.
- Verisk’s MIS deal links geospatial event data to cat models and claims workflows.
- Near-real-time exposure and loss views speed triage after major catastrophes.
- Speed matters most for floods, storms, political violence, and SRCC.
- Live event data is becoming core to accumulation control and capital management.
- Integrated analytics can also support parametric triggers and alternative capacity.
What’s the latest?
Verisk’s acquisition of McKenzie Intelligence Services this week is a direct move to fuse live event intelligence with catastrophe modeling, turning post-event assessment into a faster input for underwriting and claims.
How it developed
- Claims AI Shifts to Orchestration, Embedded Distribution Gains Ground, and Trigger-Based Protection Rises
- Trigger-Based Protection Is Replacing Broad Indemnity
Go deeper
Curated long-form picks on this trend — podcasts, videos, and analysis, by vantage.
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